Physics

Hongtu Zhao This email address is being protected from spambots. You need JavaScript enabled to view it.1

1College of Physcial Education, Jilin Normal University, Siping 136000, China

 

Received: November 25, 2021
Accepted: April 30, 2022
Publication Date: June 17, 2022

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202303_26(3).0013  


ABSTRACT

In testing the wear resistance of sports instruments, Traditional methods are inadequate in predicting the wear performance and fail to predict the wear mass loss under different loads. In order to predict the wear mass loss of sports equipment, a wear resistance evaluation method based on maximum likelihood estimation was designed in this study. Wear resistance prediction algorithm was designed by constructing the external parameter matrix and the prediction method of maximum likelihood estimation of wear resistance of magnesium alloy surface spraying. On this basis, the wear test platform is designed, and the influence of magnesium alloy surface spraying on the wear resistance of sports equipment is analyzed. In order to detect the effect of spraying coating on the surface of magnesium alloy on the wear resistance of sports equipment, the test results show that this method has small wear and high wear resistance, and the coating mass loss gradually increases with the increase of load. Under the load of 300 N, the wear loss of sports equipment sprayed by this method is only 9.8 mg. Under a certain load, the spraying method has little effect on the wear quality of sports equipment. The wear mass loss of sports equipment by this method is much less than that of the other three methods.


Keywords: wear resistance; maximum likelihood estimate; sports equipment; parameter matrix


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