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oapen-20.500.12657-323312021-11-12T16:35:48Z Chapter 3 Wavelet Analysis for the Extraction of Morphological Features for Orthopaedic Bearing Surfaces Jiang, X. Zeng, W. Scott, Paul J. orthopaedic bearing surfaces orthopaedic bearing surfaces Biorthogonal wavelet Cutoff frequency Discrete wavelet transform Lifting scheme Low-pass filter Wavelet Wavelet transform Waviness bic Book Industry Communication::P Mathematics & science::PD Science: general issues Surface texture is one of the most critical factors and important functionality indicators in the performance of high precision and nanoscale devices and components. The functions that have been identified in various studies include wear, friction, lubrication, corrosion, fatigue, coating, paintability, etc. [1-3]. It is also reported that the wear rates of surfaces in operational service is determined by roughness, waviness and the multi-scalar topographic features of a surface, such as random peaks/pits and ridges/valleys. These functional topographical features will impact directly on wear mechanics and physical properties of a whole system, such as hip joint replacement system in bioengineering [4-9]. For example, during functional operation of interacting surfaces, peaks and ridges will act as sites of high contact stresses and abrasion; consequently wear particles and debris will be generated by such surface topographical features, whereas the pits and valleys will affect the lubrication and fluid retention properties. In this situation, a vitally important consideration for functional characterisation must be the appropriate separation of the different components of surfaces, which is not only to extract roughness, waviness and form error, but should also be extended to all multi-scalar topographical events over surfaces. 2019-10-04 14:36:11 2020-04-01T14:06:44Z 2016-08-01 23:55 2019-10-04 14:36:11 2020-04-01T14:06:44Z 2016-12-31 23:55:55 2019-10-04 14:36:11 2020-04-01T14:06:44Z 2020-04-01T14:06:44Z 2011 chapter 612617 OCN: 1030817225 http://library.oapen.org/handle/20.500.12657/32331 eng application/pdf n/a 612617.pdf InTechOpen Progress in Molecular and Environmental Bioengineering - From Analysis and Modeling to Technology Applications 10.5772/20728 10.5772/20728 09f6769d-48ed-467d-b150-4cf2680656a1 91f4aa88-3570-426f-9580-f083cf6355cd 7292b17b-f01a-4016-94d3-d7fb5ef9fb79 European Research Council (ERC) 1 228117 FP7 FP7 Ideas: European Research Council FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013) open access
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Surface texture is one of the most critical factors and important functionality indicators in the performance of high precision and nanoscale devices and components. The functions
that have been identified in various studies include wear, friction, lubrication, corrosion,
fatigue, coating, paintability, etc. [1-3]. It is also reported that the wear rates of surfaces in
operational service is determined by roughness, waviness and the multi-scalar topographic
features of a surface, such as random peaks/pits and ridges/valleys. These functional
topographical features will impact directly on wear mechanics and physical properties of a
whole system, such as hip joint replacement system in bioengineering [4-9]. For example,
during functional operation of interacting surfaces, peaks and ridges will act as sites of high
contact stresses and abrasion; consequently wear particles and debris will be generated by
such surface topographical features, whereas the pits and valleys will affect the lubrication
and fluid retention properties. In this situation, a vitally important consideration for
functional characterisation must be the appropriate separation of the different components
of surfaces, which is not only to extract roughness, waviness and form error, but should also
be extended to all multi-scalar topographical events over surfaces.
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