Journal of Applied Science and Engineering

Published by Tamkang University Press

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Competitive Reliability Analysis of Heavy-Duty Gears in The Shearer’s Cutting Part

 2026

 Volume 32

Minghao Li1,2, Shuting Wang1,2, Dongsheng Wu1,2, and Lijuan Zhao3,4

1School of Mechanical Engineering, Shenyang Ligong University, Shenyang, 110159, China

2Science and Technology Development Corporation, Shenyang Ligong University, Shenyang, 110159, China

3College of Mechanical Engineering, Liaoning Technical University, Fuxin 123000, China

4Liaoning Provincial Key Laboratory of Large-Scale Mining Equipment, Fuxin 123000, China

Received: March 7, 2026
Accepted: March 31, 2026
Publication Date: May 4, 2026

上傳圖片

Overall Model of the Shearer Cutting Unit 

 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:  BibTeX | http://dx.doi.org/10.6180/jase.202609_32.025  

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To improve the working efficiency of the cutting head of a coal cutter, studying the reliability of the heavy-duty gears in the cutting head under the condition of competitive failure was an effective approach. A reliability model for the gears under natural aging and sudden shock failure is established using stochastic processes. The three forces and three torques acting on the gears were obtained using mechanical system simulation software,
and the fatigue damage accumulation value of the gears was obtained using fatigue analysis software. The reliability model for the large gear in the cutting head under the competitive failure condition of natural aging and sudden shock failure is obtained based on the stochastic process solution parameters. The results show that the competitive reliability model proposed in this paper is beneficial for improving the accuracy of gear reliability calculation and thereby improving the working efficiency of the cutting head of the coal cutter.

Keywords: Gear; Stochastic process; Fatigue analysis; Competing reliability

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