Quantitative analysis of metal fiber morphology by level set image segmentation algorithms

Minqiang Pan; Guanping Dong; Yujian Zhong; Hongqing Wang; Xiaoyu Zhou

doi:10.3139/120.111324

Article

Quantitative analysis of metal fiber morphology by level set image segmentation algorithms

Minqiang Pan , Guanping Dong , Yujian Zhong , Hongqing Wang and Xiaoyu Zhou

Published/Copyright: March 26, 2019

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From the journal Materials Testing Volume 61 Issue 4

Abstract

Due to their advantages of high porosity, large specific surface area, and abundant surface topography, porous fiber-sintered plates are widely used in microreactors. The fiber surface in the cutting process generates a rich micro-surface morphology which can effectively improve the catalyst load and promote reaction efficiency. There is currently a lack of quantitative analysis of the microchannel surface topography features. In this study, a new image segmentation technique based on level set algorithms was developed to study the microscopic features of the metal fibers processed under different processing parameters, allowing for the establishment of a matching relationship between the microscopic roughness of the fiber surface and the equivalent diameter of the fibers. The experimental results show that the surface topography characteristic coefficient (STCC) was approximately inversely proportional to the cutting speed (r × min⁻¹), which was approximately proportional to the feed (mm × r⁻¹). The cutting depth (mm) effect on the STCC value of the fibers was not obvious. At low speed, with a cutting speed n = 20 r × min⁻¹, feed rate f = 0.08 mm × r⁻¹, and cutting depth a_p = 0.11 mm, the STCC of the metal fiber reached a maximum value of 115.927. At high speed, with a cutting speed of n = 400 r × min⁻¹, feed rate f = 0.06 mm × r⁻¹, and cutting depth a_p = 0.17 mm, the metal fiber STCC reached a maximum of 128.605. The parameters corresponding to the maximum STCC value can be used as the optimal turning parameters of metal fiber material for making a porous fiber microchannel reactor.

*Correspondence Address, Prof. Dr. Minqiang Pan, School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, P. R. China, E-mail: mqpan@scut.edu.cn

Prof. Dr. Minqiang Pan, born in 1979, obtained his PhD degree at the South China University of Technology, Guangzhou, P. R. China. He obtained a Doctor's degree at the School of Mechanical and Automotive Engineering from the same university in 2007. His studies focused the design and optimization of micro-reaction systems, metal functional surface microstructures, manufacturing technology and mechanism.

Guanping Dong is a PhD student at South China University of Technology, Guangzhou, Chinaresearching functional surface microstructures manufacturing.

Yujian Zhong and Hongqing Wang are Master's students at the South China University of Technology, Guangzhou, China.

Xiaoyu Zhou is an undergraduate student at the South China University of Technology, Guangzhou, China.

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Published Online: 2019-03-26

Published in Print: 2019-04-04

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https://doi.org/10.3139/120.111324