Comparison of wheel wear models for the simulation of railway wheels subjected to plastic deformation

Author:

Tian JH1,Lu XX1ORCID,Yang Q1,Zhang Z1ORCID,Ma GL1,Bowen CR2

Affiliation:

1. CAE Analysis Room for Engineering Application, Xi`an Technological University, Xi’an, China

2. Department of Mechanical Engineering, University of Bath, UK

Abstract

In this paper, using bi-linear, multi-linear, and non-linear plastic strain models, the applicability of four typical wear models is studied to assess rail wheel wear, which include the Archard, Pearce, Usfd, and Braghin models. Firstly, the instantaneous wear of four models is calculated within a contact area, and an equivalent wear coefficient is used to express the proportional relationship between wear models quantitatively. A uniform expression of the wear models has been derived analytically, and the instantaneous wear rate based on the different wear models is evaluated under harmonic excitation. The rapid wear rate fluctuation for different wear models is then calculated under harmonic excitation, and the influence of speed on the wear fluctuation is studied. The results show that the four wear models have a similar result in calculating the instantaneous wear. In addition, the frequency characteristics of excitation can be accurately reflected in a general sense, and the degree of fluctuation is similar. However, the wear model does not fit the bi-linear plastic model well. It is observed that speed significantly affects the frequency and amplitude of wear fluctuation, the wear model can adapt well to the plastic model at high speed, and the wear depth increases with an increase in speed. This work has demonstrated that the wear model has poor adaptability with the bi-linear plastic model but can be successfully combined with multi-linear and non-linear plastic models to predict rail wheel wear during plastic deformation.

Funder

National Natural Science Foundation of China

the Principal Foundation of Xi’an Technological University

Basic Research Plan of Natural Science in Shaanxi Province

Publisher

SAGE Publications

Subject

Mechanical Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3