Hierarchical-information-based characterization of multiscale structured surfaces

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Cheung, Chi Fai, Liu, Mingyu, Leach, Richard, Feng, Xiaobing and Zhao, Chenyang (2018) Hierarchical-information-based characterization of multiscale structured surfaces. CIRP Annals - Manufacturing Technology, 67 (1). pp. 539-542. ISSN 0007-8506

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Official URL: https://www.sciencedirect.com/science/article/pii/S000785061830026X

Abstract

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.

Item Type:	Article
RIS ID:	https://nottingham-repository.worktribe.com/output/943291
Keywords:	Information, Surface, Characterization
Schools/Departments:	University of Nottingham, UK > Faculty of Engineering > Department of Mechanical, Materials and Manufacturing Engineering
Identification Number:	10.1016/j.cirp.2018.04.002
Depositing User:	Feng, Xiaobing
Date Deposited:	11 Jul 2018 08:34
Last Modified:	04 May 2020 19:43
URI:	https://eprints.nottingham.ac.uk/id/eprint/51718

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