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Hierarchical-information-based characterization of multiscale structured surfaces

Cheung, Chi Fai; Liu, Mingyu; Leach, Richard; Feng, Xiaobing; Zhao, Chenyang

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Authors

Chi Fai Cheung

Mingyu Liu

Xiaobing Feng

Chenyang Zhao



Abstract

© 2018 This paper presents a hierarchical-information-based characterization method for multiscale structured surfaces. The method makes use of a priori information of the multiscale surface and a hierarchical segmentation–registration (HSR) algorithm to firstly divide the measurement dataset into segments, which are then registered with the designed geometry of the microstructure. The registered information is used to reconstruct the large scale topography. Multiple scales of surface information are decomposed hierarchically by the HSR algorithm. Hence, the errors in different scales are determined. Simulation and experimental results show that the hierarchical-information-based characterization method is accurate and effective in the characterization of multiscale structured surfaces.

Citation

Cheung, C. F., Liu, M., Leach, R., Feng, X., & Zhao, C. (2018). Hierarchical-information-based characterization of multiscale structured surfaces. CIRP Annals - Manufacturing Technology, 67(1), 539-542. https://doi.org/10.1016/j.cirp.2018.04.002

Journal Article Type Article
Acceptance Date Apr 4, 2018
Online Publication Date Apr 17, 2018
Publication Date 2018
Deposit Date Jul 11, 2018
Publicly Available Date Oct 18, 2019
Journal CIRP Annals
Print ISSN 0007-8506
Electronic ISSN 1726-0604
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 67
Issue 1
Pages 539-542
DOI https://doi.org/10.1016/j.cirp.2018.04.002
Keywords Information, Surface, Characterization
Public URL https://nottingham-repository.worktribe.com/output/943291
Publisher URL https://www.sciencedirect.com/science/article/pii/S000785061830026X
Contract Date Jul 11, 2018

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