Effect of Surface Skewness on Critical Reynolds Number Supervisor

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Effect of Surface Skewness on Critical Reynolds Number Mr.Tharakorn Lekaegkarat S3300015 Supervisor: Dr. Franz K. Fuss School of Aerospace, Mechanical, and Manufacturing Engineering Royal Melbourne Institute of Technology University Melbourne, Victoria, Australia Year 2012

Transcript of Effect of Surface Skewness on Critical Reynolds Number Supervisor

!!!!!!!

Effect of Surface Skewness on Critical Reynolds Number

Mr.Tharakorn Lekaegkarat S3300015

Supervisor: Dr. Franz K. Fuss

School of Aerospace, Mechanical, and Manufacturing Engineering

Royal Melbourne Institute of Technology University

Melbourne, Victoria, Australia

Year 2012

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ABSTRACT

The roughness surface plays an important role in aerospace and sport industries since they

are common in many parts of aircraft including heat exchangers pipe systems, and turbine

blades. It is important factor to determine the interaction of object and its environment. Its

value has two significant parameter consisted of profile roughness and areal roughness

parameters which are Ra and Sa respectively. The roughness surface has influenced the

aerodynamic properties of the structure in benefits and drawbacks, thus it is considered on

the appropriate roughness surface of the product in order to be the most beneficial. Then, its

value is significant for engineering to cope with. It is divided into three types consisted of

amplitude, wavelength, hybrid parameters. The aim of this project is to study the effect of

various skewness surfaces in different Reynolds number in order to describe the

characteristic of drag coefficient, which is occurred by skewness surface on different

Reynolds number. The knowledge from this experiment would be a guideline for selecting

the skewness surface to use at a precise velocity, which defines a minimum drag coefficient

(Cd).

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Declaration

I certify that the research work published in this thesis, to the best of my knowledge, is

original and solely my own unless otherwise stated. Acknowledgements and references are

mentioned where it was deemed necessary.

I am fully aware of the rules, regulation, procedures and policies of this academic institution

and have complied by them. I hereby, authorise the copyright of this document to the

University.

Tharakorn Lekaegkarat

26th October 2012

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ACKNOWLEDGEMENT

The author is heartily thankful to my project supervisor, Dr. Franz Fuss (RMIT University)

whose valuable guidance and support from the initial stage to this point enabled me to

research and develop this final year project, “Effect of surface skewness on critical Reynolds

number”. He did not only serve as my supervisor but also gave me several good literatures

and ideas regards to the topic. Second, I would like to thank Dr. Jie Yang who is a lecturer

in Professional Project course and teach me many knowledge regards to thesis, writing report

and presentation. Third, I would like to show my gratitude to my family and friends who

support and encourage me in this project. Last but not least, I offer my regards and blessing

to all of those who supported me in any respect during the completion of the project.

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Table of Contents

ABSTRACT .......................................................................................................................... 1!

DECLARATION ................................................................................................................. 2!

ACKNOWLEDGEMENT .................................................................................................. 3!

TABLE OF FIGURES ........................................................................................................ 6!

NOMENCLATURE ............................................................................................................ 8!

1.INTRODUCTION .......................................................................................................... 10!1.1 PROJECT OVERVIEW .................................................................................................................... 10!1.2 OBJECTIVES AND SCOPE OF INVESTIGATION ............................................................................... 13!2. LITERATURE REVIEW ............................................................................................. 14!2.1 ROUGHNESS PARAMETER ............................................................................................................ 14!

2.1.1.The amplitude parameters .............................................................................................. 15!Arithmetic!average!height!(Ra)!......................................................................................................................................................................!15!Root!mean!square!roughness!(Rq)!...............................................................................................................................................................!16!Ten=point!height!(Rz)!.........................................................................................................................................................................................!16!Maximum!height!of!peaks!(Rp)!......................................................................................................................................................................!17!Maximum!depth!of!valleys!(Rv)!.....................................................................................................................................................................!17!Mean!height!of!peaks!(Rpm)!.............................................................................................................................................................................!17!Mean!depth!of!valleys!(Rvm)!............................................................................................................................................................................!17!Maximum!height!of!the!profile!(Rt!or!Rmax)!.............................................................................................................................................!17!Maximum!peak!to!valley!height!(Rti)!..........................................................................................................................................................!18!Mean!of!maximum!peak!to!valley!height!(Rtm)!.......................................................................................................................................!18!Largest!peak!to!valley!height!(Ry)!................................................................................................................................................................!18!Profile!solidity!factor!(k)!..................................................................................................................................................................................!18!Skewness!(Rsk)!......................................................................................................................................................................................................!19!Kurtosis!(Rku)!........................................................................................................................................................................................................!20!Amplitude!density!function!(ADF)!...............................................................................................................................................................!21!Auto!correlation!function!(ACF)!...................................................................................................................................................................!22!Correlation!length!(b)!........................................................................................................................................................................................!23!

2.1.2.The spacing parameters .................................................................................................. 24!High!spot!count!(HSC)!.......................................................................................................................................................................................!24!Peak!count!(Pc)!.....................................................................................................................................................................................................!25!

2.1.3.The hybrid parameters .................................................................................................... 26!2.2 REYNOLDS NUMBER .................................................................................................................... 27!2.3 CRITICAL REYNOLDS NUMBER .................................................................................................... 28!2.4 DRAG FORCE AND DRAG COEFFICIENT ........................................................................................ 30!2.5 EFFECT OF SURFACE ROUGHNESS ................................................................................................ 32!2.6 FLOW PAST SMOOTH CIRCULAR CYLINDER ................................................................................. 38!2.7 FLOW PAST ROUGH CIRCULAR CYLINDER ................................................................................... 45!3. METHODOLOGY ........................................................................................................ 50!3.1 TESTING MODEL DESIGN .............................................................................................................. 50!3.2 TEST RIG ...................................................................................................................................... 59!3.3. WIND TUNNEL ............................................................................................................................. 60!

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3.4 CYLINDER MODEL ........................................................................................................................ 61!3.5 TESTING BASE .............................................................................................................................. 63!3.5 FORCE BALANCE .......................................................................................................................... 66!3.5 ANEMOMETER .............................................................................................................................. 67!3.7. CALCULATION OF FTARED .............................................................................................................. 68!4. EXPERIMENTAL RESULT AND DISCUSSION ..................................................... 70!EXPERIMENTAL RESULT .................................................................................................................... 70!Rsk!=!�!....................................................................................................................................................................................................................!70!Rsk!=!0!......................................................................................................................................................................................................................!71!Rsk!=!1!......................................................................................................................................................................................................................!72!Rsk!=!2!......................................................................................................................................................................................................................!73!Rsk!=!5!......................................................................................................................................................................................................................!74!Rsk!=!=1!....................................................................................................................................................................................................................!75!Rsk!=!=2!....................................................................................................................................................................................................................!76!Rsk!=!=5!....................................................................................................................................................................................................................!77!DISCUSSION ....................................................................................................................................... 78!5. CONCLUSION .............................................................................................................. 79!

6. RECOMMENDATION FOR FUTURE STUDIES .................................................... 80!

REFERENCE ..................................................................................................................... 81!

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Table of Figures

Figure 1: Definition of arithmetic average height (Ra) (Gadelmawla, 2002)!___!15!

Figure 2: Definition of the ten-point height parameter (Rz(iso),Rz(din) (Gadelmawla,

2002)!_______________________________________________________________________________!16!

Figure 3: Definition of the parameters Rp, Rv,Rpm,Rvm,Rt (Gadelmawla, 2002)17!

Figure 4: Definition of the maximum peak to valley height parameters (Rti) (Gadelmawla,

2002)!_______________________________________________________________________________!18!

Figure 5: Definition of skewness (Rsk) and the amplitude distribution curve (Gadelmawla,

2002)!_______________________________________________________________________________!19!

Figure 6: Definition of kurtosis (Rku) parameter (Gadelmawla, 2002)! _________!20!

Figure 7: The ADF (Gadelmawla, 2002)!_________________________________________!21!

Figure 8: Calculating HSC above a selected level (Gadelmawla, 2002)!________!24!

Figure 9: Calculating the peak count (Pc) parameter within a selected band

(Gadelmawla, 2002)!_______________________________________________________________!25!

Figure 10: Occurrence of separation (laminar boundary layer) (Chunhakham, 2011)

!_____________________________________________________________________________________!28!

Figure 11: Occurrence of separation (turbulent boundary layer) (Chunhakham, 2011)

!_____________________________________________________________________________________!28!

Figure 12: Illustration of critical Reynolds number (Chunhakham, 2011)!______!29!

Figure 13: Comparison of drag forces from different shapes of objects and Reynolds

numbers (Chunhakham, 2011)!____________________________________________________!31!

Figure 14: Results of CD and Reynolds number without blockage correction (Achenbach,

1971)!_______________________________________________________________________________!33!

Figure!15!Drag!coefficient!of!single!cylinder!of!Achenbach!and!Heinecke's!experiment!

at!various!roughnesses!___________________________________________________________!35!

Figure!16!Surface!profiles!in!the!experiment!by!Fuss!(2011)!___________________!36!

Figure!17!Drag!coefficient!of!the!various!skewness!roughness!parameters!from!Fuss'!

experiment!________________________________________________________________________!37!

Figure!18 Variation of drag coefficient with Reynolds number (Anderson, 1991)38!

Figure!19!Different type of flow over circular cylinder (Chunhakham, 2011)!___!39!

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Figure 20: Experiment of flow over a circular cylinder at Re = 1.54 (Anderson, 1991)

!_____________________________________________________________________________________!40!

Figure 21: Experiment of flow over a circular cylinder at Re = 26 (Anderson, 1991)

!_____________________________________________________________________________________!40!

Figure 22: The experiment of flow over a circular cylinder at Re = 140 (Anderson, 1991)

!_____________________________________________________________________________________!41!

Figure!23!Comparison!of!pressure!distribution!over!the!cylinder!between!theory!and!

experiment!________________________________________________________________________!43!

Figure!24!Flow!region!of!the!flow!past!over!the!circular!cylinder!______________!44!

Figure!25!The!flow!around!a!circular!cylinder!__________________________________!46!

Figure!26!A!comparison!of!theory!pressure!distribution!of!surface!of!a!circular!cylinder!

with!typical!experimental!distribution!__________________________________________!47!

Figure!27!The!notation!for!determining!lifts!and!drags!on!a!circular!cylinder! 48!

Figure 28: Surface profile and skewness numbers (Fuss, 2011)!_________________!50!

Figure!29!Specimen!sheets!with!various!skewness!numbers! ___________________!51!

Figure!30!Specimen!sheet!________________________________________________________!52!

Figure!31!Specimen!sheet!________________________________________________________!53!

Figure 32 Cylinderical surface profiles and skewness numbers (Chunhakham, 2011)

!_____________________________________________________________________________________!58!

Figure 33: The test rigs in a front view and oblique view in respectively (Fuss, 2011)

!_____________________________________________________________________________________!59!

Figure 34: The test section of wind tunnel (Chunakham, 2011)! _________________!60!

Figure!35!Cylinder!model!(Leepitakrat,!2011)!__________________________________!61!

Figure!36!Cylinder!model!_________________________________________________________!62!

Figure!37!Slide!plate!______________________________________________________________!62!

Figure!38!Testing!base!before!reinforcement!___________________________________!63!

Figure!39!Test!rig!being!reinforcement!and!installed!cylinder!_________________!64!

Figure!40!Testing!base!model!after!reinforced!(Chunhakham,!2011)!_________!65!

Figure!41!Force!balance!(Chunhakham,2011)!__________________________________!66!

Figure!42!Anemometer!(Chunhakham,2011)!___________________________________!67!

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Nomenclature

Rsk Skewness

Rp Peak-to-mean Height

Rku Kurtosis

Rv Valley-to-mean Height

Rt Peak-to-valley Height

Ra Arithmetic average Height

Rq Root mean square roughness

Rz Ten-point height

Rpm Mean height of peaks

Rvm Mean depth of valleys

Rt or Rmax Maximum height of the profile

Rti Maximum peak to valley height

Rtm Mean of maximum peak to valley height

k Profile solidity factor

ADF Amplitude density function

ACF Auto correlation function

b Correlation length

PSD Power spectral density

HSC High spot count

Pc Peak count

Re Reynolds number

CD Drag coefficient

CD pressure Drag coefficient of pressure drag

CD friction Drag coefficient of skin friction drag

ρ Air density (kg/m3)

v Fluid velocity (m/s)

d Diameter (m)

µ Viscosity of the fluid (N·s/m2)

D Drag force

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U∞ Flow velocity

A Area

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1.Introduction

1.1 Project Overview

The roughness is important factor to define the interaction of object and its environment.

Rough surfaces usually have higher friction coefficients. It is a good predictor of the

performance of a mechanical component, since irregularities in the surface may form

nucleation sites for cracks. The roughness surface plays an important role in aerospace

industries since they are common in many parts of aircraft including heat exchangers, pipe

systems, and turbine blades. Its value has two significant parameter consisted of profile

roughness and areal roughness parameters which are Ra and Sa respectively. Furthermore,

there are more important parameter, which will be also considered in this project, which are

skewness (Rsk) and kurtosis (Rku). In addition to surface roughness, it is a measurement of the

texture of surface, which can be calculated by vertical deviations of real surface from the

ideal form. If the ratios of a real surface form and its ideal form are large, the surface is

rough and vice versa.

According to Flitney and Brown (2007), skewness is a measurement of the symmetry of the

profile regarding the mean line. It shows whether the spikes on the surface are predominately

negative or positive or the profile has an even distribution of valley and peak. There are

valleys on surface of material, which has negative skew, and peaks on the positive skew

material. The skew is dimensionless so it is best to compare with other parameters to give a

complete understanding of the surface and its magnitude. The skewness value varies from –

∞ to ∞ that from 0 to ∞ for the positive skewness and - ∞ to 0 for negative skewness. More

absolute skewness value means less roughness on the surface. The skewness (Rsk) is

significant parameter since the optimum surface skewness in combination with relative

roughness has to be found and used for analysis to find a minimum drag coefficient with a

defined minimum speed in this project.

Several researches show that the surface with different roughness value affects its

environments differently, which could be both advantage and disadvantage. Thus, in order to

optimise or choose the proper finish surface to each product, its surface roughness will be

considered. Therefore, the roughness is one of the most important issues that engineers have

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to deal with especially, aerospace and mechanical engineers (Chunhakham, 2011). As a

result, it leads to invention of roughness parameters, which are used to categorise the

roughness.

According to Zipin (1981) and Leepitakrat (2011), roughness parameters can be divided into

three major groups including the amplitude parameters, spacing parameters and hybrid

parameters, as the result from calculation methods. Amplitude parameters, the most

important parameters, are used to measure the characteristics of surface derivations

vertically. The most well-known and commonly used roughness parameter of amplitude

parameters is the ‘Arithmetic average height’ (Ra). This roughness parameter, is also known

as the centre line average (CLA), is easy to measure and gives a good height variation

description. The information regarding the wavelength of the surface roughness will not be

provided in this parameter and the small changes of surface profile will not affect the

parameter value. Another common roughness parameter in amplitude parameters is

‘Kurtosis’. It is the fourth coefficient central moment of probability density function of

roughness amplitude measured over the consideration surface length (Zipin, 1981). Another

roughness measuring approach is the spacing parameters; it measures the surface derivative

of roughness profile horizontally. It is important in some manufacturing processes such as

pressing sheet steel. An example of this type of parameter is ‘High Spot Count’ (HSC). This

type of spacing parameters is outlined as the number of sections of the roughness profile that

is higher than the mean line over the measured length. Another roughness parameter in

spacing parameters is ‘Peak count’ (Pc). It is measured from the number of the local peaks

that is projected through a preferred band located above and below the mean line within the

same distance. Pc is important in forming, painting and coating surfaces. Last but not least,

the hybrid parameters are the combination of amplitude and spacing parameters, thus a

change in either amplitude or spacing may affect this parameter set. An instance of hybrid

parameters is ‘Mean slope of the profile’ (Δa). This hybrid parameter can be affected by

many mechanical properties such as friction, elastic constant, reflectance, fatigue crack

initiation and hydrodynamic lubrication. It is calculated by the average of all slopes between

each two successive points of the roughness profile (Gadelmawla 2002).

The drag force due to surface has become one of the most major issues of engineering field

including cars, aircraft, and sport equipment. Though the surface objects have their own

roughness, it can be developed to be desired surfaces. A common method to design the

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roughness of surface is to study the effects of surface skewness on the aerodynamics. When

the effect of surface skewness is tested and analysed, the surface can be designed and

manufactured for further purposes.

This project is dedicated to an experiment which will be conducted in wind tunnel for a

numerous time in order to get the adequate numbers of data such as drag force, minimum

Reynolds number drag coefficients, which will be used for analysing the data. If the result

cannot approach as expected, it has to be conducted again to get the new result. When results

are obtained, it has to be analysed and concluded in order to do further research and

development for the new prototype.

In conclusion, the studying the behavior of the airflow over the surface skewness by testing

in wind tunnel is one of the most recognised experiments. The prototype is manufactured

into various skewness numbers and tested in the wind tunnel to measure the drag force for

each prototype. Its shape can be manufactured in various shapes including square, semi

circle, and triangle. According to the test, drag force, Reynolds number and drag coefficient

is obtained. After that, these results is analysed and developed for further experiment.

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1.2 Objectives and Scope of Investigation

The aim of this project is to study the effect surface skewness in different Reynolds number

in order to define the characteristic of drag coefficient, which is occurred by surface

skewness on different Reynolds number. The knowledge from this experiment would be a

guideline for selecting the surface skewness to use at a precise velocity, which defines a

minimum drag coefficient (Cd).

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2. Literature Review

2.1 Roughness parameter

According to Gadelmawla (2002), surface roughness evaluation is very significant for many

fundamental problems including friction, contact deformation, heat and electric current

conduction, tightness of contact joints and positional accuracy. Consequently, surface

roughness has been the subject of experimental and theoretical investigations for many

decades. The real surface geometry is quite complicated that a finite number of parameters

cannot provide a full description. If the number of parameters used is increased, the more

accurate description can be obtained. This is the reason for initiating new parameters for

surface evaluation. Surface roughness parameters are generally categorised into three types

according to its functionality. They are outlined as amplitude parameters, spacing

parameters, and hybrid parameters

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2.1.1.The amplitude parameters The amplitude parameters are the most significant parameters to illustrate surface topography

(Gadelmawla, 2002). They are used to measure the vertical characteristics of the surface

deviations. It is given a brief description for each parameter.

Arithmetic average height (Ra)

Figure 1: Definition of arithmetic average height (Ra) (Gadelmawla, 2002)

The arithmetic average height parameter, also known as the centre line average (CLA), is

the most universally used roughness parameter for general quality control. It is expressed

as the average absolute deviation of the roughness irregularities from the mean line over

one sampling length as shown in Figure1. This parameter is easy to define, easy to

measure, and provides a good general description of height variations. It does not present

any information regarding the wavelength and it is not sensitive to small changes in

profile (Gadelmawla, 2002).

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Root mean square roughness (Rq)

Figure 2: Definition of the ten-point height parameter (Rz(iso),Rz(din) (Gadelmawla,

2002)

This parameter is also known as RMS. It signifies the standard deviation of the distribution

of surface heights, so it is an important parameter to describe the surface roughness by

statistical methods. This parameter is more delicate than the arithmetic average height (Ra) to

large deviation from the mean line (Gadelmawla, 2002).

Ten-point height (Rz)

This parameter is more complex to occasional high peaks or deep valleys than Ra. It is

described by two methods according to the definition system. The International ISO system

outlines this parameter as the difference in height between the average of the five highest

peaks and the five lowest valleys along the assessment length of the profile. Figure2 shows

the definition of the ten-point height parameter (Gadelmawla, 2002).

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Figure 3: Definition of the parameters Rp, Rv,Rpm,Rvm,Rt (Gadelmawla, 2002)

Maximum height of peaks (Rp)

Rp is outlined as the maximum height of the profile above the mean line within the

assessment length (Gadelmawla, 2002). In Figure3, Rp3 represents the Rp parameter.

Maximum depth of valleys (Rv)

According to Gadelmawla (2002), Rv is described as the maximum depth of the profile below

the mean line within the assessment length as shown in Figure 3. In the figure Rv4 represents

the Rv parameter.

Mean height of peaks (Rpm)

According to Gadelmawla (2002), Rpm is expressed as the mean of the maximum height of

peaks (Rp) obtained for each testing length of the assessment length as shown in Figure 3.

Mean depth of valleys (Rvm)

According to Gadelmawla (2002), Rvm is stated as the mean of the maximum depth of

valleys (Rv) obtained for each sampling length of the assessment length as shown in Figure 3.

Maximum height of the profile (Rt or Rmax)

This parameter is very sensitive to the high peaks or deep scratches. Rmax or Rt is described

as the vertical distance between the highest peak and the lowest valley along the assessment

length of the profile (Gadelmawla, 2002).

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Figure 4: Definition of the maximum peak to valley height parameters (Rti)

(Gadelmawla, 2002)

Maximum peak to valley height (Rti)

Rti is the vertical distance between the highest peak and the lowest valley for each sampling

length of the profile (Gadelmawla, 2002). As the assessment length is divided into five

sampling lengths, the maximum peak to valley height (Rti) can be defined, as shown in

Figure 4.

Mean of maximum peak to valley height (Rtm)

Rtm is outlined as the mean of all maximum peaks to valley heights obtained within the

assessment length of the profile (Gadelmawla, 2002).

Largest peak to valley height (Ry)

According to Gadelmawla (2002), this parameter is expressed as the largest value of the

maximum peak to valley height parameters (Rti) along the assessment length.

Profile solidity factor (k)

The profile solidity factor (k) is defined as the ratio between the maximum depth of valleys

and the maximum height of the profile (Gadelmawla, 2002).

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Skewness (Rsk)

Figure 5: Definition of skewness (Rsk) and the amplitude distribution curve

(Gadelmawla, 2002)

This parameter is a key factor in this project. According to Gadelmawla (2002), the skewness

of a profile is the third central moment of profile amplitude probability density function,

measured over the assessment length. It is used to measure the symmetry of the profile

regards to the mean line. This parameter is delicate to occasional deep valleys or high peaks.

A symmetrical height distribution with as many peaks as valleys has zero skewness. Profiles

with peaks removed or deep scratches have negative skewness. Profiles with valleys filled in

or high peaks have positive skewness as shown in Figure 5. The skewness parameter can be

used to distinguish between two profiles having the same Ra or Rq values but in different

shapes. The value of skewness depends on whether the bulk of the material of the sample is

above (negative skewed) or below (positive skewed) the mean line as shown in Figure 5. The

skewness parameter can be used to distinguish between surfaces, which have different shapes

and have the same value of Ra. In Figure 5, although the two profiles may have the same

value of Ra, they have different shapes.

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Kurtosis (Rku)

Figure 6: Definition of kurtosis (Rku) parameter (Gadelmawla, 2002)

Kurtosis coefficient is the fourth central moment of profile amplitude prospect density

function, measured over the assessment length (Gadelmawla, 2002). It clarifies the sharpness

of the prospect density of the profile. If Rku < 3 the distribution curve is said to be

platykurtoic and has relatively few high peaks and low valleys. If Rku > 3 the distribution

curves is supposed to be leptokurtoic and has relatively many high peaks and low valleys.

Figure 6 shows these two types of kurtosis.

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Figure 7: The ADF (Gadelmawla, 2002)

Amplitude density function (ADF)

The term amplitude density relates exactly to the term probability density in statistics. The

ADF signifies the distribution histogram of the profile heights (Gadelmawla, 2002). It can be

found by plotting the density of the profile heights on the horizontal axis and the profile

heights itself on the vertical axis as shown in Figure 7.

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Auto correlation function (ACF)

According to Gadelmawla (2002), the ACF labels the general dependence of the values of

the data at one position to their values at another position. It is considered as a very useful

approach for processing signals because it provides basic information about the relation

between the wavelength and the amplitude properties of the surface. The ACF can be studied

as a quantitative measure of the similarity between a laterally shifted and an unshifted

version of the profile. The ACF can be normalised to have a value of unity at a shift distance

of zero. This suppresses any amplitude information in the ACF but allows a better

comparison of the wavelength information in various profiles (Gadelmawla, 2002).

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Correlation length (b)

This parameter is used to describe the correlation characteristics of the ACF. It is outlined as

the shortest distance in which the value of the ACF drops to a certain fraction, usually 10%

of the zero shift value. Points on the surface profile that are separated by more than a

correlation length may be considered as uncorrelated portions of the surface characterised by

these points were produced by separate surface forming events. Correlation lengths may

range from the infinite correlation length for a perfectly periodic wavelength to zero for a

completely random waveform (Gadelmawla, 2002).

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2.1.2.The spacing parameters

According to Gadelmawla (2002), the spacing parameters are those, which measure the

horizontal characteristics of the surface deviations. The spacing parameters are solutions in

some manufacturing operations including pressing sheet steel. In such case, evaluating the

spacing parameters is necessary to obtain consistent lubrication when pressing the sheets, to

avoid scoring and to prevent the appearance of the surface texture on the final product. One

of the spacing parameter is the peak spacing, which can be an principal factor in the

performance of friction surfaces such as brake drums. By controlling the spacing parameters

it is possible to obtain better bounding of finishes, more uniform finish of plating and

painting. There are several types of spacing parameters.

Figure 8: Calculating HSC above a selected level (Gadelmawla, 2002)

High spot count (HSC)

The HSC parameter is expressed as the number of high sections of the profile above the

mean line, or above a line parallel to the mean line, per unit length along the assessment

length (Gadelmawla, 2002). Figure 8 shows how to calculate the HSC parameter above a

selected level. The profile shown in the figure has eight HSC.

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Peak count (Pc)

Figure 9: Calculating the peak count (Pc) parameter within a selected band

(Gadelmawla, 2002)

The importance of the peak count parameter appears in some manufacturing processes

including forming, painting, or coating surfaces. It is stated as the number of local peaks,

which is projected through a selected band located above and below the mean line by the

same distance (Gadelmawla, 2002). The number of peak count is determined along the

assessment length and the result is given in peaks per centimeter. If the assessment length is

less than 1 cm, the results should be multiplied by a factor to get the peak count per

centimeter.

Figure 9 shows that the peak count is determined only for the closed areas of the profile, in

which the profile intersects each the upper and the lower bands in two points at least. For

example, the profile shown in the figure has four peak counts.

Besides from high spot count, and peak count, there are several types of spacing parameter

which is not that significant including Mean spacing at mean line (Sm), Number of

intersections of profile at the mean line (n (0)), Number of peak in the profile (m), Number

of inflection point (g), and Mean radius of asperities (rp) (Gadelmawla, 2002).

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2.1.3.The hybrid parameters

According to Gadelmawla (2002), the hybrid property is a mixture of amplitude and spacing.

Any changes, which occur in either amplitude or spacing, could have effects on the hybrid

property. In tribology analysis, surface slope, surface curvature and developed interfacial

area are considered to be important factors, which influence the tribological properties of

surfaces. There are several types of hybrid parameter including Profile slope at mean line (!),

Mean slope at profile (Δ!), RMS slope at profile (Δ!), Average wavelength (!!), RMS

wavelength (!!), etc. However, these parameters are not taken into an account for this

project. Thus, it is not go in detail of them.

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2.2 Reynolds number

Chunhakham (2011) and Leepitakrat (2011) note that from the experiment of Reynolds in a

visual investigation of the flow of a liquid through a narrow tube, they observed that the air

density, viscosity and velocity of the fluid, and diameter of the tube had the effects in the

determining whether the flow would be laminar or turbulence. Then he could combine all

these parameters in one non-dimensional parameter, Reynolds number, and denoted by Re.

Re Vdρ=

µ (1)

(Ref: Fundamentals of Fluid mechanics, 5th, Bruce R. Munson et al., p. 518)

Where ρ is air density (kg/m3), V is fluid velocity (m/s), d is diameter (m), and µ is viscosity

of the fluid (N·s/m2).

The Reynolds number can be used to calculate the boundary layer of the flow. If Re is low,

boundary layer is likely to be laminar. If Re is moderately high, it is high prospect that the

boundary layer will be turbulence. In between the difference of the flow from laminar to

turbulence is called transition region.

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2.3 Critical Reynolds number

Clancy (1975) claims that drag force due to laminar boundary layers is much lower than the

drag due to the turbulent, thus it looks benefit to assure laminar flow past over the object

surface. However, it is difficult to keep the flow is laminar in high flow speed and non-linear

surface shape. If the flow is laminated over the objects but there are some separations occur,

drag force will be much higher than making the flow turbulence but still attaches the surface.

It is also the fact that laminar boundary layer tends to separate much more easily than the

turbulent flow. In high speed of flow and non-linear surface line, consequently, drag in

laminar flow will be likely to be higher than in transition to the turbulent because of the

separation. The prospect of occurrence of separation in turbulent flow is lower than laminar

since the delay of separation by higher energy of flow to attach the surface of the object,

resulting in reduction in drag.

Figure 10: Occurrence of separation (laminar boundary layer) (Chunhakham, 2011)

Figure 11: Occurrence of separation (turbulent boundary layer) (Chunhakham,

2011)

! 29!

Figure10 and Figure11 explain the flow separation past the circular cylinder (or sphere) in a

real fluid. Figure10 presents laminar flow past the cylinder in low Reynolds number. The

flow separates from the cylinder surface in the early position (front face of the cylinder),

providing a large region of dead air at the rear of the object. At high Reynolds number as

shown in Figure11, transition occurs early at the front face of the cylinder, leads to the

attachment of the flow to the surface until the points at rear of the surface. As the result, the

dead air section is lower than in laminar boundary layer case, providing much lower values

of drag. This phenomenon occurs quite swiftly when Re increased through the certain value,

‘Critical Reynolds number’. Consequently, the critical Reynolds number is a range of

Reynolds number that produces drag force and coefficient rapidly much lower than the

previous Reynolds number as shown in Figure 12

Figure 12: Illustration of critical Reynolds number (Chunhakham, 2011)

! 30!

2.4 Drag force and Drag coefficient

Munson et al. (2006), Chunakham (2011) and Leepitakrat (2011) describe that any object

moving through a fluid will experience a drag (D), a net force in the direction of flow due to

the pressure and shear force on the surface of the object. The equation of drag force can be

expressed as

! = ! !! !!!!!!!!! (2)

(Ref: Fundamentals of Fluid mechanics, 5th, Bruce R. Munson et al., p. 518)

Where !!is drag force, !! is air density, !! is flow velocity, !! is drag coefficient and !

is area.

Chunhakham (2011) asserts that the total drag force that acting on a bluff body can be

divided into two different parts, which are skin friction drag and pressure drag. The pressure

drag is a result of pressure difference between the high pressures in the front part of the body.

The difference of skin surfaces may cause the different drag force in the same air speed.

Rougher surface is more likely to produce the higher drag because of more separation of the

flow over the surface. Hoerner (1965) adds that the shape of the object also causes the

different drag force because of the difference of the pressures between front and rear faces.

The increase of drag due to the difference of pressure distribution, which is related to the

different value; higher different value leads to higher drag force.

!!!!"!#$ = !!!!!"#$$%"# !+ !!!!!"#$%#&' (3)

Where !!!!"!#$ = Drag coefficient of total drag, !!!!"#$$%"# = Drag coefficient of pressure

drag, !!!!"#$%#&' = Drag coefficient of skin friction drag

Chunhakham (2011) and Leepitakrat (2011) claims that the relative contribution of friction

drag and pressure drag vary on shape of the body and thickness. For bluff bodies including

cylinder, 90% of total drag comes from pressure drag. On the other hand, friction drag will

take the essential role on streamlined body.

! 31!

Figure 13: Comparison of drag forces from different shapes of objects and Reynolds

numbers (Chunhakham, 2011)

Figure13 demonstrates the relationship of the drag forces from different object shapes and

Reynolds numbers. The total drag force is the mixture of skin friction drag and pressure drag.

Nevertheless, drag force is likely from the effect of the difference of pressure distributions

except the airfoil shape. This may be because the area of surface contracting the airflow is

low while the difference of pressure distribution is relatively high. In the case of airfoil

shape, the contracted area is very large and the dead air at the back is very small, thus

mainstream of drag is from the skin friction drag (Leepitakrat, 2011).

! 32!

2.5 Effect of surface roughness

According to Kawamura and Takami (1986) and Chunhakham (2011), the effect of surface

roughness on the flow past a cylinder has been investigated experimentally. Some

experimental results from those experiments are used to compare the results in this

experiment. The surface roughness affects intensely in the transition in the boundary layer.

The small roughness on the surface can present the subcritical regime precipitately.

Methodical changes in the shapes and gradual displacement of the drag coefficient curves

towards the lower Reynolds number (Leepitakrat, 2011). These may be because of raising

the surface roughness. The roughness of surface will reduce the formation of the separation

bubble appearing at the rear of the object in smooth surface case. Therefore, those bubbles

are eliminated by the effect of roughness. Kawamura and Takami (1986) also states that the

surface roughness makes the critical Reynolds number lower that make the boundary thick

enough for practical computations and experiment.

An experiment of this investigation is the experiment of Achenbach (1971). In this well-

known experiment, three roughness values of the cylinder and smooth cylinder surface were

studied. This experiment was operated with a closed atmospheric circuit and alternatively

high-pressure wind tunnel. The tested cylinder had diameter of 150 mm with the length of

500 mm. This experiment also operated in the range of Reynolds numbers between 4x104

and 3x106. Figure14 shows the experimental result of Achenbach.

! 33!

Figure 14: Results of CD and Reynolds number without blockage correction

(Achenbach, 1971)

It is stated that in the subcritical flow regime, due to friction forces, the boundary layer

separates at the front portion of the circular cylinder with the laminar boundary layer

(Achenbach, 1971). The ratio of inertia forces to friction forces grows up with increasing

Reynolds number. The surface roughness will generate the additional energy to boundary

layer. From these two effects, thus, cause the boundary layer to attach to the surface for

longer distance. He adds that this moving of separation point to the back of cylinder reduces

the size of separation at the back, and as the result, the value of drag coefficient decreases.

Chunhakham (2011) and Leepitakrat (2011) declare that at the critical Reynolds number,

laminar separation and turbulence reattachment appear. For the case of smooth circular

cylinder in the large range of Reynolds number (3x105 < Re < 1.5x106), this phenomenon of

the separation bubble could be observed, but it is restricted for the rough surface cylinder

because of the narrow flow range.

They also add that the instant transition from laminar to turbulent flow could be observed in

the supercritical flow regime. When Reynolds number increases, the transition point moves

from back of the main cross-section to the point on the front face of the cylinder. As the

! 34!

result, the drag coefficient rises to reach the new higher value. Finally, the trans critical flow

regime is developed. In this regime, the turbulence is developed for the whole boundary layer

except the small region around the stagnation point. In this trans critical region, the total drag

coefficient has the constant value. This is the result from the idea that in trans critical flow

regime the magnitude of drag coefficient is only dependent on the effect of surface roughness

(Chunhakham, 2011).

Achenbach (1971) asserts that in the subcritical flow regime, due to friction forces, the

boundary layer separates at the front portion of the circular cylinder with the laminar

boundary layer. The ratio of inertia forces to friction forces grows up with increasing

Reynolds number. The surface roughness will generate the additional energy to boundary

layer. From these two effects, hence, cause the boundary layer to attach to the surface for

longer distance. This moving of separation point to the back of cylinder reduces the size of

separation at the back, and as the result, the value of drag coefficient decreases.

At the critical Reynolds number, laminar separation and turbulence reattachment appear. For

the case of smooth circular cylinder in the large range of Reynolds number (3x105 < Re <

1.5x106), this phenomenon of the separation bubble could be observed, but it is restricted for

the rough surface cylinder because of the narrow flow range.

The instant transition from laminar to turbulent flow could be observed in the supercritical

flow regime. When Reynolds number increases, the transition point moves from back of the

main cross-section to the point on the front face of the cylinder. As the result, the drag

coefficient rises to reach the new higher value. Finally, the transcritical flow regime is

developed. In this regime, the turbulence is developed for the entire boundary layer except

the small region around the stagnation point. In this transcritical region, the total drag

coefficient has the constant value. This is the result from the suggestion that in transcritical

flow regime the magnitude of drag coefficient is only dependent on the effect of surface

roughness.

Next!interesting!experiment!is!the!experiment!of!Achenbach!and!Heinecke!(1981).!This!

experiment!was!conducted!to!investigate!the!influence!of!the!surface!roughness!on!the!

vortex=shedding frequency in the wake of a single circular cylinder. The experiment was

operated in an atmospheric and a high-pressure wind tunnel with the range of Reynolds

! 35!

number 6x103 to 6x106. The experiment were tested with a smooth cylinder and rough

cylinder with relative roughness of ks/d = 75x10-5, 300x10-5, 900x10-5, and 3000x10-5.

Achenbach and Heinecke (1981) published the relationship between the dimensionless

roughness and the critical Reynolds number Recrit from the drag coefficient data of the

rough cylinders as following.

!Figure' 15' Drag' coefficient' of' single' cylinder' of' Achenbach' and' Heinecke's'

experiment'at'various'roughnesses'

! 36!

Another experiment is the investigation of the effect of surface skewness on the

postcritical and supercritical drag coefficient of the rough cylinders operated by Fuss

(2011). In this experiment, seven skewness roughness parameters Rsk: 0, +1, +2, +5, -1, -

2 and -5 and a smooth surface (Rsk = ±∞) were tested. The roughness elements have the

roughness height of 2 mm and supported with the base with thickness of 1.5 mm as shown

in Figure 16.

!Figure'16'Surface'profiles'in'the'experiment'by'Fuss'(2011)

In this experiment, two plates were attached at the end of the cylinder in order to reduce

the 3D effects. The wind speed was increased from 10 kph to 140 kph by increment of 10

kph. The results from this experiment were not necessary to be corrected with blockage

ratio because the blockage ratio is 1.7%, which is considered negligible.

The experimental results are shown in Figure 18. The magnitude of minimum drag

coefficient for the higher value of skewness (more value in positive) is higher than the

lower value of this roughness parameter. This means the higher positive skew is rougher

and higher negative skew is smoother.

! 37!

!Figure'17'Drag'coefficient'of'the'various'skewness'roughness'parameters'from'

Fuss''experiment'

!

! 38!

2.6 Flow past smooth circular cylinder

!Figure'18 Variation of drag coefficient with Reynolds number (Anderson, 1991)'

There are many researches and studies regards to the drag force in a range of Reynolds

number (Re). There are two main types of drag force including friction and stagnation

pressure (Hoerner, 1965). According to Chunhakham (2011), the different drag force

depends on skin surfaces in the same air speed. Rougher surface is more likely to create the

higher drag because of more separation of the flow over the surface. The shape of the object

causes the different drag force as well because of the pressure drag from the object itself. He

also declares that the pressure drag of this shape of object will be zero when it assumes to

have inviscid flow and incompressible flow over a circular cylinder. This is the result from

the same values of pressure distribution over the front and rear of the cylinder. Conversely,

the flow over a circular cylinder is different from the ideal case with no pressure drag. It will

have drag due to friction, and it is the function of Reynolds number. As Figure15 shows the

Variation of drag coefficient with Reynolds number based on experimental data, the values

of CD are very large compared to small Reynolds number Drag coefficient decreases

gradually until Reynolds number around 300,000, and then the value of CD is rapidly

dropped to near value of 0.3 to 0.6 at Reynolds number of 107. The reason of high CD at

! 39!

small Re may be because of laminar flow in the boundary layer. The growth of turbulent

flow in boundary layer causes the drop of drag coefficient when Reynolds number is higher.

!Figure'19'Different type of flow over circular cylinder (Chunhakham, 2011)

! 40!

Figure 20: Experiment of flow over a circular cylinder at Re = 1.54 (Anderson, 1991)

Figure 21: Experiment of flow over a circular cylinder at Re = 26 (Anderson, 1991)

Anderson (1991) claims that at very low value of Reynolds number (0< Re< 4), the

streamlines passing the circular cylinder are almost symmetry and attach to the surface of

! 41!

cylinder as shown in Figure16 (I). This regime of viscous flow is called ‘Stokes flow’. Drag

force of this flow is due to the friction force; it is high value of CD because the surface that

touches the flow is large (about all elements on surface). Figure 19 is a figure of the

experiment of this type of flow where Re = 1.54. When the Reynolds number increases to a

range between 4 and 40, there are steady vortices at the back of the cylinder as shown in

Figure 16 (II). If the Re remains the same value, these vortices will stay at the same position

all the time.

Figure 22: The experiment of flow over a circular cylinder at Re = 140 (Anderson,

1991)

The experiment of this flow type where Re = 26 is shown in Figure 18 (Anderson, 1991). He

claims that since Re increases higher than 40, flow at the back of cylinder becomes unstable;

the vortices will be alternately shed from the body in an ordered fashion and flow

downstream as shown in Figure 16 (III). The alternatively shed vortex pattern as shown in

Figure 16 (III) is called a ‘Karman vortex street’.

The figure of the experiment of this flow type and also ‘Karman Vortex Street’ are shown in

Figure 19 (Re = 140). As increase of Reynolds number to be larger, the ‘Karman vortex

street’ becomes turbulent. The laminar boundary layer starts separating from the cylinder

surface on the forward face (about 80⁰ from the stagnation point) as shown in Figure 16 (IV)

Drag coefficient for this type of flow for 103 < Re < 3x105 is constant as shown in Figure 15.

! 42!

The separation still occurs at the front face of cylinder but the free shear flow region in

previous Re region is replaced by transition to turbulent flow when the Reynolds number

increases from 3x105 to 3x106. Therefore the flows become reattached on the back of the

cylinder and separate again at about 120⁰ measured from the stagnation point as shown in

Figure 16 (V). The transitions to turbulent flow leads to reduction in pressure drag on the

circular cylinder; as the result, the CD will be reduced to the lowest values. The drag

coefficient will increase from the previous Reynolds number range when the Reynolds

number is higher than 3x106. Moreover, the boundary layer transits directly to turbulence at

some point on the front face of the cylinder. However, the flow still fully attaches the circular

cylinder surface and separates at the back of the object around 120⁰ on the back face.

The separation points are moving closer to the top and bottom points of cylinder when the Re

keeps increasing. This impacts the waver wake, leading to higher value of pressure drag.

The flow over the cylinder is affected by the separation of the flow over the backward of the

object. This separation causes the disparity of the pressure distribution over the cylinder

surface between front and backsides of the circular cylinder. Figure 18 illustrates the

relationship the pressure distribution over the cylinder between the theoretic and experiment.

The theoretical result shows that there is no pressure difference between front and rear face

of the cylinder, so there is no drag due to the difference of the pressure distribution. In the

experiment with viscid and compressible flow, however, the pressure at front face of the

cylinder is higher than at the rearward face, leading to pressure drag, the difference of drag

between front and rear sides of the cylinder.

! 43!

!Figure'23'Comparison'of'pressure'distribution'over'the'cylinder'between'

theory'and'experiment

From Figure 18, drag coefficient of the cylinder at various Reynolds number can be drawn

roughly as shown in figure 23. Reynolds number can be divided into four regions as the

effects of Re on the drag coefficient. In the subcritical flow regime, there is a large range

of Re that CD is likely to be constant. After subcritical region, drag coefficient rapidly

drops with increasing Re. This region is called critical flow regime. Then CD starts

increasing with an increase of Re in supercritical flow regime. The last region is

transcritical region; drag coefficient of the cylinder is nearly constant again in this region

but with the lower values of CD. (Elmar Achenbach, 1971)

! 44!

!Figure'24'Flow'region'of'the'flow'past'over'the'circular'cylinder'(Achenbach,'

1971)'

! 45!

2.7 Flow past rough circular cylinder

According to B. R. Mudson Et al., the stream function and the velocity potential equation

are given by the combination of a doublet and uniform flow in the positive x direction.

The stream function;

! = !" sin! − ! !"#!! (4)

The velocity potential;

! = !" cos! − ! !"#!! (5)

For the stream function which is used to represent flow around a circular cylinder, the

value of ! = !"#$%&#% for!! = !, where ! is the radius of the cylinder. So the stream

function can be written as

! = ! − !!! ! sin!… (6)

(Ref: Fundamentals of Fluid mechanics, 5th, Bruce R. Munson et al.., p. 312)

It follows that ! = 0 for!! = ! if

! − !!! = 0 (7)

From the equation, doublet strength, K, is indicated it must be equal to Ua2. So, the

stream function of the flow around the circular cylinder can be expressed as

! = !" 1− !!!! sin! (8)

And the corresponding velocity potential is

! = !" 1− !!!! cos! (9)

! 46!

!Figure'25'The'flow'around'a'circular'cylinder

So, the velocity component can be obtained from the previous equations as

!! = !"!" =

!!!"!" = ! 1− !!

!! cos! (10)

And

!! = !!!"!" = − !"

!" = −! 1+ !!!! sin! (11)

(Ref: Fundamentals of Fluid mechanics, 5th, Bruce R. Munson et al.., p. 313)

On the surface of the cylinder (r = a), !! = 0

!!" = −2! sin! (12)

The maximum velocity occurs at the top and bottom of the cylinder (! = ±!/2) and has a

magnitude of twice the upstream velocity, U.

!

The pressure distribution of the cylinder surface can be found from the Bernoulli equation

which is written from a point far away from the cylinder where the pressure is !! and the

velocity is U so that

!! + !! !!

! = !! + !! !!!"

! (13)

Where

! 47!

!! = !ℎ!!!"#$%&'!!"#$$%"#

Since !!" = −2! sin! and elevation change are neglected, the surface pressure can be

express as

!! = !! + !! !!

!(1− 4 sin! !) (14)

!Figure'26'A'comparison'of'theory'pressure'distribution'of'surface'of'a'circular'

cylinder'with'typical'experimental'distribution

A comparison of the theoretical, symmetrical pressure distribution express in

dimensionless form with a typical measured distribution is shown in Figure 21. The figure

clearly reveals that only on the upstream part of the cylinder is there approximate

agreement between the potential flow and the experiment results Because of the viscous

boundary layer that develop on the cylinder, leading to the large difference between the

theoretical, frictionless fluid solution and the experiment result on the downstream side of

the cylinder.

! 48!

!Figure'27'The'notation'for'determining'lifts'and'drags'on'a'circular'cylinder

The resultant force (per unit length) develop on the cylinder can be determined by

integrating the pressure over the surface. From Figure 20, it can be seen that

!! = − !! cos! !!!"!!! (15)

!! = − !! sin θ!!!"!!! (16)

Where

!! = !ℎ!!!"#$! !"#$%!!"#"$$%$!!"!!"#$%&"'(!!"!!ℎ!!!"#$%&'!!"#$

!!= !ℎ!!!"#$! !"#$%!!"#!"$%&'()*#!!"!!"!!"#$%&"'(!!"!!ℎ!!!"#$%&'!!"#$

(Ref: Fundamentals of Fluid mechanics, 5th, Bruce R. Munson et al.., p. 314)

!

! 49!

2.8 Blockage effect

Leepitakrat (2011) clarified that blockage ratio (S/C) is defined the ration of the effective

area of the model that normal to the wind direction to the cross-sectional area of wind

tunnel. Nevertheless, there is a little work that concerned this effect even at the relatively

high blockage ratios. He added that many researchers have attempted to avoid this effect

by adjusting the tunnel test section in some ways. Increase of the blockage ratio leads to

the moving of separated shear towards to the wake centre line. There is an agreement that

for the blockage ratios of up to 10% are acceptable (Leepitakrat (2011).

! 50!

3. Methodology

3.1 Testing model design

In the experiment, eight roughness surfaces of 310mm. × 300mm. with various profile of the

Rsk of ±∞, 0, +1, +2, +5, -1, -2 and -5 as shown in Figure 20 are experimented. The

roughness specimens have the roughness height of 1 mm and supported with the base with

thickness of 1 mm. The specimen sheets are made from the material named “TP930”, a

flexible polymeric rapid prototyping material (Fuss, 2011). The models are bended into

cylinder shape when experimenting. The reason of using circular cylinder in the experiment

is to complete the flow in high Reynolds number.

Figure 28: Surface profile and skewness numbers (Fuss, 2011)

! 51!

!

!Figure'29'Specimen'sheets'with'various'skewness'numbers'

! 52!

!Figure'30'Specimen'sheet'

! 53!

!'

Figure'31'Specimen'sheet

! 54!

Rsk = 0

Rsk = +1

! 55!

Rsk = +2

Rsk = +5

! 56!

! 57!

Rsk = -1

Rsk = -2

! 58!

Rsk = -5

Rsk = ∞

!Figure 32 Cylinderical surface profiles and skewness numbers (Chunhakham, 2011)

! 59!

3.2 Test rig

!Figure 33: The test rigs in a front view and oblique view in respectively (Fuss, 2011)

The TP930 test sheets will be covered around the cylinder with the ridges supported in

span wise direction (Fuss, 2011). The sheets is attached to the surface of the cylinder by

glue and also secured with tape at the seams (stagnation points) and the cylinder end

plates as shown in Figure 29. Since the supporting base layer of 1 mm thickness of each

TP930 test sheet, the relative surface roughness was 0.9%. According to Fuss (2011), The

test rig in Figure21 is designed for wind tunnel testing including a horizontal cylinder

located in the centre of the tunnel’s cross section. He adds that the wind speed was

boosted in increments of 10 kph from 20 kph to 140 kph, and at each velocity step, the

wind speed was retained constant for 10 s. The data were recorded with Kistler Bioware

(Kistler, Winterthur, Switzerland) at 20 Hz. (Fuss, 2011). By analysis, the horizontal force

data were tared, by subtracting the test rig’s drag force (without cylinder) from the

experimental data (cylinder with TP930 test sheets). The blockage ratio of 1.17% was

neglected and thus not corrected. Then the data is plotted, and the segments of constant

wind speed were known. After that, the average drag force calculated for each velocity

step. The drag forces and wind speeds were changed to drag coefficient and Reynolds

number (Fuss, 2011).

! 60!

3.3. Wind tunnel

This experiment will be conducted by using RMIT University Wind tunnel. It is secure

return circuit wind tunnel. The maximum speed of the wind in the tunnel is approximately

145 km/h or 40.3 m/s. the test section is 3 m × 2 m cross-section and long 9 m. The wind

speed will be measured by anemometer that was build from electric motor and blade.

Figure 34: The test section of wind tunnel (Chunakham, 2011)

! 61!

3.4 Cylinder model

A wood cylinder model with diameter of 125 mm and length of 310 mm will be used in

order to examine the aerodynamic properties of the garments. Two circular side plates

with three times of the cylinder model size will be attached at both end of the cylinder in

order to simulate 2D flow. The reason is that the cylinder model length is finite, so when

the flow passes, circulation will occur at both model’s ends. This circulation will disturb

the flow and lead to error. Both cylinder model and side plates will be mounted with the

testing base

. !

Figure'35'Cylinder'model'(Leepitakrat,'2011)

! 62!

!

'

Figure'36'Cylinder'model

!Figure'37'Slide'plate

! 63!

3.5 Testing base

The testing base is equipment that will be used to hold the cylinder model on the

horizontal direction during the experiment. It was designed to receive vibration from

flutter, and made from metal.

!Figure'38'Testing'base'before'reinforcement

! 64!

!Figure'39'Test'rig'being'reinforcement'and'installed'cylinder'

The figure 39 shows the testing base before reinforced. It was tested in the wind tunnel

and vibrated at high air speed. Because of this, two plates with the same materials

reinforce it. The anemometer will be mounted at one side of the testing base.

! 65!

!Figure'40'Testing'base'model'after'reinforced'(Chunhakham,'2011)

! 66!

3.5 Force balance

!Figure'41'Force'balance'(Chunhakham,'2011)'

In the experiment, drag, lift, side forces and yaw, pitch, roll moments will be monitored

and recorded. The most important parameter is drag force because the flow is assumed to

be parallel to the textile positioning and there is no need to adjust the turntable under the

wind tunnel to change the angle of attack. Other parameters except drag force will not

change much.

! 67!

3.5 Anemometer

An anemometer is the equipment that is used to measure air speed. It is required in order

to calibrate air velocity inside the wind tunnel. This will help reducing error caused by the

wind tunnel. The velocity will be shown in the display in m/s.

!Figure'42'Anemometer'(Chunhakham,2011)'

! 68!

3.7. Calculation of Ftared

In order to get the real result from the experiment, the forces in the correct direction are

used to calculate, as there are six forces that can measure in the wind tunnel. There are

five main variables related to time that use to get average Cd and Re. First variable is

Force in horizontal direction or Fy. It can be obtained in the experiment. Second,

equivalent speed or veq is also attained from experiment. Third, Fy(tared) is calculated

from Fy or Fy(untared) Begin with using equation of Cd(equivalent) which is

Cd(equivalent) = -5.983482221E-005 x v(m/s) + 0.02886483494

From three experiment, the Fy(tared) can be plotted to the graph below

0 10 20 30 40v (m/s)

0

0.01

0.02

0.03

0.04

2*rh

o*A

d

!

! 69!

The graph is plotted from 2 x rho x Ad by v (m/s) represents three Fy(tared) and the

average Fy(tared). From these graphs, there will be obtained three equations which are

Equation Y = -5.983482221E-005 x X + 0.02886483494

Equation Y = -5.350914793E-005 x X + 0.02900245644

Equation Y = -9.23545689E-005 x X + 0.03075105637

For X = 7 to 36 (m/s)

Then, it is attained average equation of the three equation.

The gradient of equation = -6.856617968E-005

The intercept = 0.02953944925

Thus, equation Y = -6.856617968E-005 x v (m/s) + 0.02953944925

Finally, the of Fy(tared) = of Fy(untared) – v2 (m/s) x (-6.856617968E-005* v(m/s) +

0.02953944925).

Forth, v (m/s) = !!"#$%

!.!"!#$%$!&

Last variable is constant which is rho. It is equal to 1.2054

When five variables are obtained, Cd and Re can be acquired.

Cd = !!"#$%!!"!!!!!".!"#$ , where 25.8065 is AxD of cylinder

Re = !.!"#!!!!!!!.!!!!"#$

The last step for plotting graph is to use average of Cd and Re

! 70!

4. Experimental result and Discussion

Experimental result

Rsk = ∞

Regarding the above graph, it indicates the drag coefficient on skewness surface, which

has skewness number equals to infinity versus Reynolds number. The trend of this graph

is similar to the graph based on the experimental data given in Anderson (1991). In other

words, it can be said that skewness number, which equals to infinity is the same as smooth

surface. There is a dramatically decrease of drag coefficient along the graph, however, it

seems constant in the end. Due to the fact that coefficient drag will decrease at higher

velocity, thus, the result looks quite good as it is expected; yet it should shift a bit to the

right

.

0!

0.2!

0.4!

0.6!

0.8!

1!

1.2!

0! 50000! 100000! 150000! 200000! 250000! 300000!

Reynolds number

Cd

! 71!

Rsk = 0

The following graph represents the drag coefficient on skewness surface that has

skewness number equals to zero versus Reynolds number. According to figure of

Achenbach (1971), there are four regions consisting of subcritical, supercritical and

transcritical, which is quite the same as the following, graph. To illustrate, from Reynolds

number from approximately 55000 to 79000 occurred subcritical region. Then, from

79000 to approximately 130000 is critical region. After that to Reynolds number that

equals to 240000 is supercritical region. Finally, there is transcritical after the supercritical

region. In brief, the result of this skewness number seems to be good.

0!

0.2!

0.4!

0.6!

0.8!

1!

1.2!

0! 50000! 100000! 150000! 200000! 250000! 300000!

Reynolds number

Cd

! 72!

Rsk = 1

Regards to the following graph, it presents the drag coefficient on skewness surface,

which has skewness number equals to positive one versus Reynolds number. Despite it

shows four regions in this graph including subcritical region, critical region, supercritical

region, and transcritical region, the graph is not as expected. The graph should be shifted

down a bit by the critical Reynolds number should plunge to drag coefficient equals to

0.2.

0!

0.2!

0.4!

0.6!

0.8!

1!

1.2!

0! 50000! 100000! 150000! 200000! 250000! 300000!

Reynolds number

Cd

! 73!

Rsk = 2

The following graph represents the drag coefficient on skewness surface that has

skewness number equals to positive two versus Reynolds number. The trend of this graph

looks good compared to the previous experiment of Fuss (2011).

0!

0.1!

0.2!

0.3!

0.4!

0.5!

0.6!

0.7!

0.8!

0.9!

1!

0! 50000! 100000! 150000! 200000! 250000!

Reynolds number

Cd

! 74!

Rsk = 5

According to the above graph, it represents the drag coefficient on skewness surface that

has skewness number equals to positive five versus Reynolds number. The trend of this

graph looks good compared to the previous experiment of Fuss (2011).

0!

0.1!

0.2!

0.3!

0.4!

0.5!

0.6!

0.7!

0.8!

0! 50000! 100000! 150000! 200000! 250000! 300000!

Reynolds number

Cd

! 75!

Rsk = -1

Regarding the following graph, it presents the drag coefficient on skewness surface,

which has skewness number equals to negative one versus Reynolds number. It is

different as it is expected. Since the subcritical region should plunge to approximate 0.2 at

Reynolds number equals to 150000. This may result from the error of the average in many

experiments. As there may be an error in some experiment, it can change the trend of the

graph.

0!

0.2!

0.4!

0.6!

0.8!

1!

1.2!

1.4!

1.6!

1.8!

0! 50000! 100000! 150000! 200000! 250000! 300000!

Reynolds number

Cd

! 76!

Rsk = -2

The graph represents the drag coefficient on skewness surface that has skewness number

equals to negative two versus Reynolds number. According to figure of Achenbach

(1971), there are four regions consisting of subcritical, supercritical and transcritical,

which is quite the same as the following, graph. To illustrate, from Reynolds number from

approximately 50000 to 17000 occurred subcritical region. Then, at Reynolds number

equals to approximately 175000 is critical Reynolds number. After that to Reynolds

number that equals to 200000 is supercritical region. Finally, there is transcritical after the

supercritical region. In brief, the result of this skewness number seems to be good.

0!

0.2!

0.4!

0.6!

0.8!

1!

1.2!

0! 50000! 100000! 150000! 200000! 250000! 300000!

Reynolds number

Cd

! 77!

Rsk = -5

!!

!

!

According to the above graph, it represents the drag coefficient on skewness surface that

has skewness number equals to negative five versus Reynolds number. The trend of this

graph looks good compared to the previous experiment of Fuss (2011). However, the

graph should be shift downward as skewness number of zero.!

0!

0.2!

0.4!

0.6!

0.8!

1!

1.2!

1.4!

0! 50000! 100000! 150000! 200000! 250000! 300000! 350000!

Reynolds number

Cd

! 78!

!

Discussion

!!

!

From the purpose of this experiment is to study the effect of various surfaces skewness on

a critical Reynolds number. There are eight skewness numbers, which is tested in the

wind tunnel. There are several experiments of some skewness number that have satisfied

result and including skewness number equals to infinity, zero, positive two, positive five,

negative two, negative five. Other skewness number that have different graph trend may

be occur from an average method. Since there may be some experiment that error, it affect

significantly to the average graph.

0!

0.2!

0.4!

0.6!

0.8!

1!

1.2!

1.4!

1.6!

1.8!

0! 50000! 100000! 150000! 200000! 250000! 300000! 350000!

AVERAGE'skewness'

avginWi!

avgneg1!

avgneg2!

avgneg5!

avgpos1!

avgpos2!

avgpos5!

avgzero!

Reynolds number

Cd

! 79!

!

!

5. Conclusion

The purpose of this project is to study the effect of surface skewness on critical Reynolds

number and also discuss and analyse the data from the experiment. In this semester, the main

tasks are to study thee theory of the roughness surface, do the experiment in the wind tunnel,

and analyse the data. However, it is not be able to do the experiment since the manufacturing

of the specimen is not be done in this semester, thus the experiment will be conducted in next

semester and also the research and development will be accomplished.

In the literature review, some studies, which has similar or same objective will be taken into

an account. Some assumption and errors from the studies will be a guideline for research and

development later on. According to the experiment by Fuss (2011), the critical Reynolds

number is decreased by surface roughness. From these experiments also show that the

minimum drag coefficient at critical Reynolds number of the higher roughness is higher

compared to the lower surface roughness values. This is the result from the effect of surface

roughness. The higher magnitude of surface roughness will cause more friction drag than the

smoother surface.

For the experiment that investigated the effect of skewness roughness parameter conducted

by Fuss (2011), the results show that the higher value of skewness (more positive) means

rougher whilst the lower value of this roughness parameter (more negative) will acts as the

smoother surface. The effect of skewness surface on critical Reynolds number number can be

summarised. The higher skewness value will have the lower critical Reynolds number

compared to lower skewness value because of the results of skewness effect from Fuss

(2011). Moreover, drag coefficient at the critical Reynolds number will be higher in more

positive skewness value.

From the experimental result, there are some satisfied result and result that different from

theory. The error would come from the averaging method of graph. There may be some

graphs that have an error so it affects the average graph.

! 80!

6. Recommendation for future studies

From! the! experience! in! this! project! regarding! the! effect! of! surface! skewness! on!

critical! Reynolds! number,! several! recommendations! for! the! future! studies! can! be!

drawn.!

First,! in! the!experiment,! it!must!be!ensured! that! the! specimen!plate! is! stick! to! the!

cylinder!completely,!unless!fluttered!may!occur.!

Second,! there!might! be! error! on! the! averaging! graph!method.! To! reduce! an! error,!

more!tests!for!each!specimen!could!be!conducted.!

Third, the range of Reynolds number will be effective from the velocity of 7 m/s to 36

m/s, unless there will be a turning point which may lead to an error.

! 81!

Reference

Achenbach, E and Heinecke, E, 1981, on vortex shedding from smooth and rough cylinders

in the range of Reynolds numbers 6×103 to 5×106, J. Fluid Mechanics Vol. 109, pp.239-251,

Great Britain.

Achenbach, E, 1971, Influence of surface roughness on the cross-flow around a cylinder, J.

Fluid Mechanics vol. 46, part 2, pp. 321 – 335.

Anderson, D, J Jr., 1991, Fundamental of Aerodynamics, 2nd edition

Chunakham, P, 2011, Effect of surface skewness on critical Reynolds number, Final year

project, RMIT University

Flitney, R, K and Melvin, B, W, 2007, Seals and sealing handbook 5th edition, ELSEVIER,

Amsterdam, Netherland.

Fuss, F, K, 2011, the effect of surface skewness on the super/postcritical coefficient of drag

roughness cylinders, ELSEVIE

Gadelmawla, E, S M. M. Koura, T. M. A. Maksoud, 2002, Roughness parameters, Journal of

materials processing technology vol. 123, pp. 133-145.

Hoerner, S, F, 1965, FLUID-DYNAMIC Drag, pressure drag, Chapter III.

Thomas, T, R, Characterization of surface roughness, 1981, Precision Engineering, IPC

Business Press, pp. 97 – 104.

Leepitakrat, Y, 2011, Effect of surface skewness on critical Reynolds number, Final year

project, RMIT University

Munson, B, R, 2006, Fundamental of Fluid Mechanics, John Wiley and Son, Inc., pp. 310-

334

! 82!

Nakamura, Y and Tomonari, Y 1982, the effects of surface roughness on flow past circular

cylindrical at high Reynolds number, J. Fluid Mechanics vol. 123, pp. 363 – 378.

Zipin, R, B, 1981, the height sensitive surface roughness parameter, application of surface

science 9, pp. 226 – 287, North-Holland Publishing Company, Netherland.