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Multi-Gaussian Stratified Modeling and Characterization of Multi-process Surfaces

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Abstract

Surface serves as the fingerprint of a component. Most researchers understood surface topography from a single-stratum viewpoint, some ones have focused on a bi-Gaussian stratified model that respects formation mechanism, but few studies have considered a multi-Gaussian stratified possibility. A multi-Gaussian stratified model of surface topography is developed based on the existing bi-Gaussian stratified surface theory. The bi-Gaussian characterizing method, on the basis of linear regression, is revised to differentiate the mixed multiple Gaussian components. The model and the method are demonstrated on simulated multi-Gaussian stratified surfaces and real engineering surfaces manufactured by turning, rough lapping, and fine lapping. The results reveal the existence of multi-Gaussian stratified feature on multi-process surfaces in industry, and improve the stratified surface theory.

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Acknowledgements

This work was supported by the China Postdoctoral Science Foundation (Grant No. 2017M621458), the National Natural Science Foundation of China (Grant No. 11572192), the National Natural Science Foundation of China (Grant No. 11632011), and the National Science and Technology Support Plan Project (Grant No. 2015BAA08B02).

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Authors and Affiliations

  1. State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, 200240, China

    Songtao Hu, Xi Shi & Zhike Peng

  2. State Key Laboratory of Tribology, Tsinghua University, Beijing, 100084, China

    Weifeng Huang, Xiangfeng Liu & Yuming Wang

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  1. Songtao Hu
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  2. Weifeng Huang
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  3. Xi Shi
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  4. Zhike Peng
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  5. Xiangfeng Liu
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  6. Yuming Wang
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Correspondence to Xi Shi.

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Hu, S., Huang, W., Shi, X. et al. Multi-Gaussian Stratified Modeling and Characterization of Multi-process Surfaces. Tribol Lett 66, 117 (2018). https://doi.org/10.1007/s11249-018-1071-5

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  • DOI: https://doi.org/10.1007/s11249-018-1071-5

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