Volume 10 Number 4 (Dec. 2018)
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IJCEE 2018 Vol.10(4): 291-301 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2018.10.4.291-301

Non-destructive 3D Topography Modeling Based on Surface Profile Measurement Data

Mingxia Kang, Wencheng Tang
Abstract—Due to the limitations on the size and properties of samples, most of the surface topography tests are destructive and the contrast test of the surface morphology before and after friction and wear of the same workpiece cannot be carried out by the topography instruments. In addition, the destructive test increases the test period and the research cost, as well. In order to solve the above problems, a non-destructive surface topography measurement method is proposed in this paper. The 3D surface topography model of the workpiece surface can be established by the processing of the surface height distribution characteristics obtained by the surface profiler. It includes the discrete point reorganization, concentric processing, moving average filtering, equal length processing and other pre-processing and the post-processing like regression analysis, polynomial interpolation. Compared with the surface topography obtained by the topography instrument, it is found that the 3D surface topography model established not only characterize the surface features such as dents, bulges, and scratches accurately and effectively but also avoid the complex sample preparation processes. What is more, the surface topography of the workpiece can be acquired without destructing and the comparison test of the surface topography before and after friction and wear of the same workpiece can be conducted.

Index Terms—Concentric processing, discrete point reorganization, equal-length processing, moving average filtering, polynomial interpolation.

Mingxia Kang and Wencheng Tang are with School of Mechanical Engineering, Southeast University, Nanjing, Jiangsu Province 210000, China.

Cite:Mingxia Kang, Wencheng Tang, "Non-destructive 3D Topography Modeling Based on Surface Profile Measurement Data," International Journal of Computer and Electrical Engineering vol. 10, no. 4, pp. 291-301, 2018.

General Information

ISSN: 1793-8163 (Print)
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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