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Roughness measurement of highly polished, mirror-finished

surfaces

Citation for published version (APA):

Prakash, A., & Struik, K. G. (1981). Roughness measurement of highly polished, mirror-finished surfaces.

Precision Engineering, 3(4), 215-219. https://doi.org/10.1016/0141-6359(81)90095-7

DOI:

10.1016/0141-6359(81)90095-7

Document status and date:

Published: 01/01/1981

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Roughness measurement of highly

polished, mirror-finished surfaces

A. Prakash* and K. Struik +

This paper describes the use o f optical and digital methods for the roughness measurement o f very fine surfaces. The equidensity photograph of the inter- ferance fringe pattern o f the surface is video-scanned and the information is stored in a 256 x 512 (or 512 x 512) dot matrix. The information is further retrieved in digital form using appropriate grey values and analysed to calculate various roughness parameters in ISO terminology

Highly polished or mirror-finished sur- faces pose problems in the measure- ment of their roughness by sWlus (contact type) measuring instruments even at high sensitivity. The profile trace of the surface is distorted by chatter and vibrations of the stylus , and other environmental effects such as the electrical noise of the instru- ment. The least count of the apparatus also has a limiting effect on the measure- ment. The effect of the datum surface

characteristics becomes dominant when measuring surfaces having roughness values close to the apparatus' least count. The information given by commercial instruments is mostly a measure of the height of surface irregularities, which, in the case of such surfaces, does not vary suffi- ciently to enable any realistic and comparative assessment of their roughness.

However, the limitations of the stylus type instruments, when used for measuring very fine surfaces, can be minimised and better results are possible by using a finer stylus and a higher data sampling rate. But increase in pressure at the stylus tip due to finer geometry may scratch the sur- face and sampling at points too close together yields correlated and highly redundant data. Optical methods (non- contact type) alone do not give a com- plete roughness assessment of such surfaces; they are more a measure of the surface reflectivity, depth of scratches and grooves rather than texture.

The differentiation between local scattering and total reflectivity

*Department of Mechanical Engineering. Indian Institute of Technology, New Delhi, India

+Department of Production Technology, Eindhoven University of Technology, Eindhoven, The Nether/ands

also needs to be considered when using optical methods and any non- conventional method of roughness measurement should give results in parameters which are comparable to the accepted ISO roughness termino- logy. A combination of optical and digital methods has therefore been investigated. The results given by this non-contact, opto-digital method have been satisfactory, comprehensive and in ISO terminology, thus enabling a realistic comparison of the roughness of very fine surfaces.

Principle behind the method

In interference microscopy, light is reflected by two planes, one the sur- face to be studied, the other a refe- rence plane. These are normally situated in different parts of the microscope, but are optically imaged close together. The light output cor- responding with a certain place on the surface is a function of the dis- tance between the two planes:

I = 1 o [1 - a s i n 27rf] where a is a modulation parameter < 1 and f i s given by

X

d = k - + f - 2 2

where d is the distance between the planes, ;k the wavelength, k an integer and f a fraction < 1. In practice, the reference plane is tilted in such a way that interference fringes result which, given suitable conditions, are seen on the surface to be studied.

The relation between photograph- ic density (= grey value) and light intensity is such that in a certain region a monotonous, approximately linear relationship exists. (For low intensities there is a threshold, for

high intensities saturation). It is clear that in principle this relationship can be determined by calibration and the height distribution on the surface to be studied can then be determined. This height distribution is to be taken from the reference plane and, as such, depends on the adjustment of this reference plane. The results can be made independent of the reference plane, however, by the simple expe- dient of calculating a best fitting plane.

In practical interference micro- scopy the very complete information about the surface which is contained in the interference pattern is not used. Normally the interference fringes are interpreted as height curves which is acceptable if the surface structure is more or less constant along the sur- face.

To facilitate this method of visual inspection narrow fringes are normally sought by (a) the use of photographic material having a steep density curve, (b) use of multiple beam interferometry 7 or (c) by a photo- graphic technique called equidensito- metry s. In all cases higher accuracy is traded for less.information over the major part of the surface. (The very fine photographs of Tolansky are notoriously empty). This drawback, together with the frustration of being unable to use the total information of the pattern, led us to the preliminary experiments described below.

In this experiment, we had to accept limited communication between the video apparatus and the computer, so a lot of information was left un- processed. This, however, obviated the need to determine the density curve, as only one grey value was used. The resolution of the method seems to be around 1%, which is sufficient, as the spread of roughness parameters over

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the surface is normally much higher. The spatial resolution is limited by the aperture of the objective lenses of the microscope, and is around 1 #m. Both are adversely influenced by the granulation of the photographic image which, however, at the moment is of little consequence.

The

method

Fig 1 shows the technique employed. An equi-density photograph of the interference fringe pattern is pre- pared using a commercial interference microscope. The magnification used is such so that one complete fringe could be enclosed in th~ photo frame of length to breadth ratio 2:1 for 1 512 x 256 dot matrix or 1:1 for a

512 x 512 dot matrix. Alternatively, the photograph could be covered by a thick paper so as to expose only one of the interference fringes.

The photograph is then scanned by an ordinary video camera with the image projected onto a television screen. After routine contrast and gain adjustments of the image on the screen, the information is stored in the system memory. The stored information represents the grey value of darkness (or whiteness) in numerical form for each dot of the matrix. The grey value can vary from 0 to 255 for a totally dark or totally white spot (dot) respectively. A computer program picks up spots of the desired grey value from the information stored on the

Fringe photograph TVcomera TV screen

Interference microscope

t

~ - r r ' r ~ Mirror- fi n ished surface M i;;c~jTputer j Diskette I tape Main I computer Roughness J results

Fig 1 0 p t o - d i g i t a l m e t h o d o f roughness measurement

Fig 3 0 p t o - d i g i t a l set-up

diskette and punches its position (distance from the base line along y-axis) on the paper tape. The infor- mation on the tape thus represents digitally the values proportional to the departure of the surface profile from a reference line. These departures termed as profile ordinates, denoted as y l , J/2, y3 (Fig 2) have been used for the calculation of roughness para- meters by the main computer. Eig 3 shows the actual set-up of the total system.

Calculation of roughness

parameters

Given the numerical data, an almost unlimited number of parameters can be computed. Information on useful parameters and on the details of calculation are given elsewhere 1'2 and also in the draft recommendation to the CI RP Technical Committee Sur- faces Meeting, February 19773,4 and are therefore not dealt with here.

Resu Its

Computer outputs (line prints and plots) for various surfaces and test specimens have been shown (Figs 4 - 6 ) .

Fig 4(a) shows acme threads drawn purposely to test the computer output for a known profile. From the computer output (Fig 4(b)) for acme threads, it will be observed that the results compare favourably with the

0 yl y2 y3 128 256 ,i _ _ _ _ ~ " \ \ . . . . . ~ \ \ ., . . . . , \ \

\\ \

.

~

'l 'l I

I l x/z I i 512 0 I;:'8 Y

Fig 2 Fringe pattern

// I

i i / I

j;,','

P 256 216 P R E C I S I O N E N G I N E E R I N G

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L

J

F " 5 1 2 y , m w I

Fig 4 Acme threads: results of rough- ness measurement by opto-digital method

calculated ones. The discrepancy bet- ween the results given by other stan- dards as ISO-2RC filter and the phase corrected filter is due to the fact that the cut-off length is about equal to the periodicity of the surface profile, hence there is a phase shift for the ISO-double RC filter.

Fig 5(b) shows the output of a Taylor Hobson stepped test specimen (Fig 5(a)) using the opto-digital method. Fig 5(c) shows the output of the same test specimen when measured by the stylus-contact method using a 'Talysurf'. Comparison of the roughness results given by these two methods (Figs 5(b) and (c)) shows close agreement. The output shown in Fig 6 is of the measurements done on an aluminium surface by the opto° digital method.

Of the various curves drawn from the application of Fourier trans- formation eg slope distribution, power spectrum and auto-correlation functions, the slope distribution qurve is,the most important. Unlike lapped andpolished surfaces, the mirror finish surface produced by conventional machining keeps the typical geometrical configur- ation representative of the machining process employed. In such very fine surfaces, the variation in the usual parameters such as Ra, Rt, auto- correlation functions etc is not suffi- cient to enable any realistic and com- parative assessment of their rough- ness. Slope values and the slope distri- bution curve for very fine machined surfaces vary appreciably and so are more suitable for their roughness assessment. The slope distribution function can also be employecl for determining the optical properties of these surfaces as it measures the directional changes of the surface profile curves and is suggestive of their reflectivity. A relationship between the reflectivity index and the slope distribution function of a surface can possibly be established enabling a

CALCULATION OF ROUGHNESS PARAMETERS - MAIN PROGRAM PICTU RE: NO 2. ACME THREADS [ VI-800618-2]

RA = 0.084 RT = 0.20

ISO-R4613 STANDARD DATA C.O. = 0.064 MM

RT = 0.2721 RMS = 0.0846 RA = 0.0778 RP = 0.1267 RMIN = -0.1454 SKEW = 0.0857 KURT = 1.4879

SLOPE RMS-- 0.0027 SAMPLE LENGTH = 0.5120 MM AVERAGE WAVELENGTH (AVWL) = 196.6251

!SO-R468-1966 MEAN RT: 0.0659 RMS: 0.0171 RA: 0.0146 RP: 0.0328 RM IN: -0.0330 SKEW: 0.0660 KURT: 2.3320 RP(MAX) = 0.0443 RMIN(MIN) = -0.0446

PER C.O.-LENGTH (= 0.06 MM) STAND.

1 2 3 4 5 DEV. 0.0751 0.0361 0.0819 0.0535 0.0827 0.0204 0.0213 0.0078 0,0216 0.0126 0.0223 0.0065 0.0184 0.0063 0.0184 0.0106 0.0192 0.0058 0.0377 0.0247 0.0443 0.0194 0.0381 0.0104 -0.0374 -0.0114 -0.0376 -0.0341 -0.0446 0.0127 0.1247 0.6999-0.0489-0.4843 0.0386 0.4249 1.8128 3.4262 1.9585 2.5702 1.8921 0.6813 RT(MAX) = 0.0889 FILTERED WITH ISO-2RC FILTER (=lSO STANDARD

DOUBLE RC FILTER).C.O. = 0.064 MM

RT = 0.0849 RMS = 0.0210 RA =0.0172 RP=0.0423 RMIN =-0.0426 SKEW=-0.3139 KURT = 2.3298

FILTERED WITH PHASE CORRECTED FILTER. C.O.=0.064 MM RT = 0.0670 RMS = 0.0132 RA = 0.0108 RP = 0.0325 RMIN = -0.0344 SKEW = 0.1450 KURT = 2.7022

quicker assessment of its reflectivity index. However, differentiation between local scattering and total reflectivity has also to be considered while establishing the above relationship.

Problems and errors

The following points need deeper consideration for optimum and accu- rate results from this opto-digital technique of roughness measurement. Effects o f photographic process Since the digitisation starts only after the video-scanning of the photograph, it is rather important that the photo- graph should be a true representation of the actual interference image of the surface. The effect of various elements of the photographic process, such as emulsion resolution, grain size, type of paper, Eberhart effect and vari- ation in density, needs to be precisely controlled, but with the advanced photographic techniques available, the error introduced by one or many of these parameters is negligible. Phase shift

It was observed that results were not identical for surfaces having similar

roughness but of different materials, such as brass and aluminium. This is due to the distortion caused in the molecular structure of the material by the production process. The pro- blem becomes acute when the distor- tion in the molecular size is greater than half the wavelength of the light used for interference fringes, in which case there is a phase shift between the incident and reflected beam resulting in an unrealistic fringe image. Local black spots

The microscopic examination of the aluminium surface revealed cracking of molecules, which caused black spots to appear on the fringe photograph, giving possible error spots during video scanning. Boundary sharpness of the picture can also cause error in the results. However, these two possible causes of error can be easily overcome by programming for more than one fringe band and ignoring spots whose position falls outside the expected limits (Fig 2).

M o d i f i c a t i o n s

Problems associated with photographic processing of the fringe patterns can be entirely overcome by directly

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Fig 5 Taylor-Hobson stepped test specimen: results of roughness measurement by above and right optoLdigital method and below by Talysurf

interfacing the interference micro- scope to the video generator via the camera. The suggested system is shown in Fig 7.

The data can be stored in a video ram or a microprocessor memory and can be retrieved for calculating roughness, parameters or for dot displaying on the television monitor. Systems are now commercially avail- able* which can be directly plugged into a microprocessor or other com- patible devices. Such matrix storage facility of the roughness data gives an important advantage of measuring roughness over an area rather than on a line which has been a restriction until now. The roughness of the area covered by fringes 1, 2, 3, 4 etc (Fig 7) can be easily and economically calculated and the dots in the matrix having near equal roughness can be located and marked for assessing correlation of the roughness

characteristics of different portions of the surface under observation.

Conclusions

This opto-digital technique overcomes most of the problems associated with the roughness measurement of very fine surfaces by both conventional and non-conventional methods. The results obtained are not only accurate and convenient for comparison but also predict better the surface fu nctional behaviour. The roughness assessment thus available is realistic, detailed and complete compared to the limited results available from commercial instruments and being a non contact method, there is no risk of spoiling the surface.

Acknowledgements

The authors are grateful to ing. L.J.A.E, Rust and Mr H.M. Creemers of the Electrical Engineering Department,

*Matrix microprocessor displays, Matrix L td, Montreal, Canada

CALCULATION OF ROUGHNESS PARAMETERS. MAIN PROGRAM.

PICTURE NO 3. T A Y L O R HOBSON STEPPED ROUGHNESS STD

R A = 0.060 RT = 0.24 [ V 1-800618-3]

ISO-R468 STANDARD DATA C.O. = 0.064 MM

RT = 0.2654 RMS = 0.0722 RA = 0.0667 RP=0.1636

R M I N = - 0 . 1 0 1 7 S K E W = - 0 . 0 0 1 3 K U R T = 1 . 7 0 7 6 SLOPE RMS =0.0131 SAMPLE L E N G T H = 0 . 5 1 2 0 M M AVERAGE WAVELENGTH (AVWL) = 34.5287

ISO-R468-1966

MEAN PER C.O.-LENGTH

1 2 3 RT: 0.2460 0.2951 0.2180 0.2103 RMS: 0.0559 0.0690 0.0517 0.0525 RA: 0.0411 0.0487 0.0385 0.0397 RP: 0.1762 0.2197 0.1484 0.1433 R MI N : - 0.0698 - 0.0754 - 0.0696 - 0.0669 SKEW: 1.3978 1.6791 1.2571 1.2985 KURT: 5.1057 5.5629 4.4936 4.2183 (= 0.06 MM) STAND. 4 5 DEV. 0.2711 0.2355 0.0361 0.0590 0.0476 0.0083 0.0428 0.0357 0.0050 0.2014 0.1683 0.0333 -0.0697 -0.0672 0.0034 1.5711 1.1830 0.2150 5.8620 5.3916 0.7115 = 0.2951 RP(MAX) = 0.2197 RMIN(MIN) = -0.0754 RT(MAX)

FILTERED WITH ISO-2RC FILTER (=ISO STANDARD DOUBLE RC FILTER).C.O. = 0.064 MM

RT = 0.4129 RMS = 0.0617 RA = 0.0377 RP = 0.2351

R M I N = - 0 . 1 7 7 8 SKEW=0.4412 K U R T = 6 . 1 6 3 4

FILTERED WITH PHASE CORRECTED FILTER. C.O.=0.064 MM

RT = 0.2236 RMS = 0.0592 RA =0.0518 RP = 0.1413

RMIN = -0.0823 SKEW = 0.3722 KURT = 2.2716

CALCULATION OF ROUGHNESS PARAMETERS. MAIN PROGRAM. PHILIPS 0.056. TASTER 5166. GLIJSCHOEN. STAND 8. C.O. 0.08. [800424-5]

IS0-R468 STANDARD DATA C.O. = 0.080 MM

RT = 0.1638 RMS = 0.0588 RA = 0.0578 RP = 0.0843

RMIN = -0.0795 SKEW = 0.0689 KURT = 1.1136 SLOPE RMS = 0.0060 SAMPLE LENGTH = 7.0600 MM AVERAGE WAVELENGTH (AVWL) = 61.8973

ISO-R468-1966 MEAN RT: 0.1787 RMS: 0.0453 RA: 0.0367 RP: 0.0614 RMIN: -0.1173 SKEW: -0.8519 KURT: 3.3530

PER C.O. LENGTH (= 0.08 MM) STAND.

1 2 3 4 5 DEV. 0.1704 0.1841 0.1766 0.1932 0.1694 0.0100 0 . 0 4 8 8 . 0 . 0 4 5 6 0.0450 0.0453 0.0417 0.0025 0.0420 0.0371 0.0377 0.0347 0.0319 0.0037 0.0606 0.0689 0.0623 0.0600 0.0552 0.0050 -0.1098 -0.1152 -0.1142 -0,1332 -0.1142 0.0091 -0.6442 -0.7604 -0.7463 - 1.0939 - 1.0148 0.1922 2.5312 3.1500 2.9289 4.2613 3.8935 0.7095 = 0.2021 RP(MAX) = 0.0689 RMIN(MIN) = -0.1332 RT(MAX)

FILTERED WITH ISO-2RC FILTER (=lSO STANDARD DOUBLE RC FILTER).C.O. = 0.080 MM

RT = 0.2508 RIMIS = 0 . 0 5 3 9 RA =0.0382 RP=0.1276

RMIN = -0.1232 SKEW = 0.0804 KURT = 3.2234

FILTERED WITH PHASE CORRECTED FILTER, C.O. = 0.080 MM

RT = 0.1332 RMS = 0.0549 RA ' = 0.0542 RP = 0.0664

RMIN = -0.0668 SKEW = 0.0734 KURT = 1.0504

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Fig 6 Aluminium surface: results of roughness measurement by the opto- digital method

Eindhoven University of Technology for the help rendered in the use of their video scanning equipment.

Initiation of the idea and helpful suggestions during the investigation by Prof. drs. J. Konin~ Head of the Metrology Section, is gratefully acknowledged. The production of equi-density fringe photographs by Mr H.G. Sonnemans, Metrology Group, is appreciated.

References

I. Prakaah A. and Strui k K. Surface Roughness: the Measurement of Spark Eroded Surfaces. Int. Journal o f Pro-

duction Research, 1975, 13(3), 2 9 1 - 3 0 2

2. Struik K. and Prakash A. Surface Roughness: the Measurement of Deformed Surfaces. International

Journal o f Production Research

1980, (5), 559--569

3. De Bruin W. and Vanharck P. Draft

Recommendation to CIRP Technical Committee, 1973

4. ISO Recommendations on Roughness Measurements. ISO/R 468, 1878, 1880,

TC 57

5. Spragg R.C. and Whitehouse D.J. 1970- 1971. Proc. I.Mech.E., 185, 697 6. Whitehouse D.J. and Reason R.E. The

Equation of Mean Line. Rank Taylor

Hobson, England, 1976

7. Tolanaky S. Surface Microtophotography.

Longmans, London, 1960

8. Lau E. and Krug W. Die )~quidensito- metrie. Akademie-Verlag, Berlin, 1957

CALCULATION OF ROUGHNESS PARAMETERS. MAIN PROGRAM.

PICTURE NO4. RT = 0.045 [VI-800618-4]

ISO-R468 STANDARD DATA C.O. = 0.064 MM

RT = 0.0361 RMS = 0.0080 RA =0.0070 RP = 0.0161 RMIN = -0.0200 SKEW = -0.4200 KURT = 2.1679

SLOPE RMS = 0.0006 SAMPLE LENGTH = 0.5120 MM AVERAGE WAVELENGTH (AVWL) = 87.7266

ISO- R468-1966 MEAN RT: 0.0078 RMS: 0.0020 RA: 0.0017 RP: 0.0038 RMIN: -0.0039 SKEW. -0.0439 KU RT: 2.6930

PER C.O.-LENGTH (= 0.06 MM) STAND.

1 2 3 4 5 DEV. 0.0082 0.0073 0.0064 0.0061 0.0107 0.0018 0.0023 0.0018 0.0015 0.0014 0.0031 0.0007 0,0019 0.0015 0.0012 0.0010 0.0026 0.0006 0.0029 0.0031 0.0033 0.0038 0.0061 0.0013 -0.0053 -0.0042 -0.0031 -0.0023 -0.0046 0.0012 -0.9595-0.6110-0.1302 0.9286 0.5526 0.7856 2.6433 2.7613 2.4043 3.6561 2.0001 0.6120 RP(MAX) = 0.0061 RMIN(MIN) = -0.0053 RT(MAX) = 0.0114 FILTERED WITH ISO-2RC FILTER (=ISO STANDARD

DOUBLE RC FILTER).C.O. = 0.064 MM

RT = 0.0147 RMS = 0.0023 RA = 0.0018 RP =0.0057 RMIN = -0.0090 SKEW = -0.9902 KURT = 4.1827

FILTERED WITH PHASE CORRECTED FILTER. C.O. = 0.064 MM RT = 0.0111 RMS = 0.0023 RA = 0.0018 RP = 0.0053 RMIN = -0.0058 SKEW = -0.2651 KURT = 2.9733

512

~ x

2 3 4 512

°6 I ~ , 1 z56 ram L I I Viaeo I generator]

TVscreen 'DOT DISPLAY'

Fig 7 System using video digitiser

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