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Surface and Form Metrology Group,

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... Form Metrology Group, Center for Precision Metrology, UNC ... Center for Precision Metrology. University of North Carolina at Charlotte. Charlotte, NC 28223 ... – PowerPoint PPT presentation

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Title: Surface and Form Metrology Group,


1
Recent Advances in Separation of Roughness,
Waviness Form
Jay Raja Bala Muralikrishnan Shengyu Fu Xiangyang
Liu Center for Precision MetrologyUniversity of
North Carolina at CharlotteCharlotte, NC 28223
2
Outline
  • Introduction
  • Historical Perspective
  • 2RC
  • Phase Correct
  • Gaussian
  • Bandwidth Filters
  • Gaussian Bandpass
  • Filter Banks
  • Wavelets
  • Recent Advances
  • Spline Filters
  • Robust Gaussian
  • Morphological Filters
  • Conclusion

3
Constituents of Surface Texture
From ASME B46
4
Historical Surface Metrology Measurement Spectrum
5
Current Metrology Measurement spectrum
6
Surface Texture Measurement and Characterization
  • Profile Measurement
  • Preprocessing
  • Filtering
  • Numerical Evaluation
  • - Roughness Ra
  • - Waviness Wa
  • - Profile Pa

7
Historical Perspective
  • Graphical Evaluation
  • 2RC Filters
  • Transmission Characteristics
  • Phase Characteristics

8
Graphical Evaluation
9
2RC Filter Transmission Characteristics
10
2RC Filter - Phase Characteristics
11
2RC Filter - Effect of Various Cutoffs
12
Issues that Needed to be Addressed
  • Phase Characteristics
  • Bandwidths
  • Special Cases - Plateau Honed Surfaces

13
Filtering of Surface Profiles - Present
  • Phase Correct Filter
  • Gaussian Filter
  • Valley Suppression Filter

14
Phase Correct Filters
15
Phase Correct Filters
Source Whitehouse, An improved type of
wavefilter for use in surface-finish
measurement, Procn Instn Mech Engr 1967-68
16
FIR and IIR Filters
17
Gaussian Filter
18
Gaussian Filter - Transmission Characteristics
(?c and ?s)
19
Separation of Roughness, Waviness and Form
20
Example
21
RK Filter ( DIN 4776)
22
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23
Comparison of 2RC, Gaussian and RK filters on
Plateau Honed surface
24
Issues that Needs to be Addressed
  • Bandwidths
  • Multiscale nature of surfaces
  • Wavelets
  • Filtering effects in form removal
  • Modified Gaussian
  • Splines

25
Bandwidth Filter
  • Multi-Band Filters
  • Filter Banks
  • Multi-Resolution Filtering - Wavelet Transform

26
Bandpass Filter - Gaussian Bandpass Filter
  • Characteristics

27
Bandpass Filter - Gaussian Bandpass Filter
  • Example

28
Bandpass Filter - Gaussian Bandpass Filter
  • Example (continued)

29
Gaussian Bandpass Filter
  • Gaussian bandpass filter is suitable for
    analyzing the profiles with widely separated
    wavelength component
  • Cutoff values

30
Filter Bank - Uniform and Non-uniform
  • Uniform filter bank
  • Non-uniform filter bank Octave filter bank

31
Multi-Resolution Filtering
  • Analyze surface signals according to scale
  • large window for gross features
  • small window for fine features
  • Multiresolution filtering based on wavelet
    analysis
  • Wavelet an octave filter bank

Microscope
32
Fourier, Short-time Fourier and Wavelet Transform
(continued)
33
Fourier, Short-time Fourier and Wavelet Transform
(continued)
34
Example of Wavelets
Scaling Functions Wavelets
35
Multiresolution Analysis
36
Wavelet Selection Daubechies
Most popular
37
Wavelet Selection Daubechies - (continued)
38
MULTIRESOLUTION ANALYSISGeneral Approach
39
General Approach (continued)
40
General Approach (continued)
41
General Approach (continued)
42
Surface Feature Extraction
43
Surface Feature Extraction - (End effect
truncated)
44
Special Filters
  • Modified Gaussian
  • Splines
  • Morphological Filter

45
Modified Gaussian Filter --Transmission
Characteristics
Advantage Mean line hugs texture
46
Comparison with Gaussian
Black Modified Gaussian mean line Red
Gaussian mean line
47
Non-periodic Spline Filter
  • Filter equation

48
Transmission Characteristics
Advantage No end effects
Low-pass transmission characteristics(
)
49
Comparison with Gaussian
Black Spline mean line Red Gaussian mean line
50
Comparison of Current Filters
51
Morphological Filters ISO /TC 213 /AG 9 N51
52
Wavelength Domain and Process Control
53
Wavelength Domain and Functional Performance
54
Conclusion
  • Bandwidth Filtering for Process Diagnostics
    Functional Correlation
  • Multi-resolution Filtering
  • Special purpose Wavelets for Surface Profiles
  • Morphological operations and Filters

55
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56
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57
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