Composite Characterization of Engineering Ceramics Ground Surface

Article Preview

Abstract:

Traditional methods of roughness characterization cannot properly reflect the characteristics of engineering ceramics surface topography. Therefore, the composite characterization using combined fractal method and wavelet method is introduced in this paper. And they are used to describe the global and local characteristics of engineering ceramics ground surface, respectively. Furthermore, a concept called topography damage ratio is proposed to describe characteristic of the deep wave trough. Finally, 3-D measurement is used to verify this method.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

662-667

Citation:

Online since:

August 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] S. Agarwal, P. Venkateswara Rao, Experimental investigation of surface/subsurface damage formation and material removal mechanisms in SiC grinding, Int. J. Mach. Tool Manu. 48(2008)698-710.

DOI: 10.1016/j.ijmachtools.2007.10.013

Google Scholar

[2] X.H. Liang, B. Lin, X.S. Han, S.G. Chen, Fractal analysis of engineering ceramics ground surface, Appl. Surf. Sci. 258 (2012) 6406-6415.

DOI: 10.1016/j.apsusc.2012.03.050

Google Scholar

[3] R.S. Sayles, T.R. Thomas, Surface topography as a nonstationary random process, Nature. 271(1978) 431-434.

DOI: 10.1038/271431a0

Google Scholar

[4] X. Chen, J. Raja, S. Simanapalli, Multi-scale analysis of engineering surfaces, Int. J. Mach. Tool Manu. 35 (1995)231-238.

Google Scholar

[5] B. Josso, D.R. Burton, M.J. Lalor, Wavelet strategy for surface roughness analysis and characterization, Comput. Method Appl. M. 191 (2001)829-842.

DOI: 10.1016/s0045-7825(01)00292-4

Google Scholar

[6] S.M. Poljacek, D. Risovic, K. Furic, M. Gojo, Comparison of fractal and profilometric methods for surface topography characterization, Appl. Surf. Sci. 254 (2008)3449-3458.

DOI: 10.1016/j.apsusc.2007.11.040

Google Scholar

[7] A. Majumdar, C.L. Tien, Fractal characterization and simulation of rough surfaces, Wear 136 (1990)313-327.

DOI: 10.1016/0043-1648(90)90154-3

Google Scholar

[8] W. Grzesik, S. Brol, Wavelet and fractal approach to surface roughness characterization after finish turning of different workpiece materials, J Mater. Process Thch. 209 (2009)2522-2531.

DOI: 10.1016/j.jmatprotec.2008.06.009

Google Scholar

[9] S. Tse, Y. Goa , S. Lu, A Wavelet–Fractal-Based Approach for Composite Characterisation of Engineering Surfaces, Int. J. Adv. Manuf. Tech. 20 (2002)925-930.

DOI: 10.1007/s001700200216

Google Scholar

[10] D.M. Tsai, B. Hsiao, Automatic surface inspection using wavelet reconstruction, Pattern Recogn. 34 (2001)1285-1305.

DOI: 10.1016/s0031-3203(00)00071-6

Google Scholar

[11] I. Daubechies, The wavelet transform, time-frequency localization and signal analysis , IEEE T. Inform. Theory. 36 (1990)961-1005.

DOI: 10.1109/18.57199

Google Scholar

[12] S.G. Mallat, A theory for multiresolution signal decomposition: The wavelet representation, IEEE T. Pattern Anal. 11 (1989)674-693.

DOI: 10.1109/34.192463

Google Scholar

[13] D.A. Lucca, E. Brinksmeier, G. Goch, Progress in Assessing Surface and Subsurface Integrity, CIRP Ann-manuf. Techn. 47 (1998)669-693.

DOI: 10.1016/s0007-8506(07)63248-x

Google Scholar