Extraction and identification of wear features on grinding roller surface of grinding mill

Authors

WANG Xuefeng, College of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, Henan 450001, China;College of Mechanical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, Henan 450064, China
WU Wenbin, College of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, Henan 450001, ChinaFollow
ZHAO Baowei, College of Mechanical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, Henan 450064, China
JIA Huapo, College of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou, Henan 450001, China;College of Mechanical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, Henan 450064, China

Corresponding Author(s)

武文斌（1959—），男，河南工业大学教授，博士生导师。E-mail：wubenbing100@163.com

Abstract

Objective: To achieve surface wear life prediction of abrasive blast rollers of grinding machines. Methods: The wear images of the grinding roller surface were acquired by the built image acquisition system, and the texture parameters such as second order moments, entropy value, contrast and correlation in the wear cycle of the grinding roller were obtained based on the grey scale co-generation matrix algorithm, and the obtained texture feature parameters were input into the constructed PSO-based LS-SVM algorithm model to finally predict the wear life of the blast roller. Results: The particle swarm algorithm could optimize the penalty factor and kernel parameters of LS-SVM well, and the PSO-LS-SVM algorithm was far superior to the LS-SVM algorithm model. The wear state of the blast roller surface of the mill could be accurately identified using the PSO-LS-SVM algorithm. Conclusion: The system can accurately predict the service life of the blast rollers.

Publication Date

3-27-2024

First Page

104

Last Page

108

DOI

10.13652/j.spjx.1003.5788.2023.80364

Recommended Citation

Xuefeng, WANG; Wenbin, WU; Baowei, ZHAO; and Huapo, JIA (2024) "Extraction and identification of wear features on grinding roller surface of grinding mill," Food and Machinery: Vol. 40: Iss. 2, Article 16.
DOI: 10.13652/j.spjx.1003.5788.2023.80364
Available at: https://www.ifoodmm.cn/journal/vol40/iss2/16

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