A Predictive Approach to Estimate Tyre Wear Characteristics

Author:

Bedi Vinay Kumar1,Rana Kashif1,Mahata Pundarik1,Ghosh Prasenjit1,Mukhopadhyay Rabindra1

Affiliation:

1. HASETRI

Abstract

<div class="section abstract"><div class="htmlview paragraph">Tyre wear is of significant concern for the automotive industry due to multiple reasons including vehicle performance, safety, economy, environmental (particulate matter emission) aspects, etc. Therefore, ensuring enhanced tyre tread wear resistance is one of the most important criteria while developing a new tyre. Tyre wear phenomenon is influenced by various factors, such as road conditions, driving habits, maintenance practices and tyre design parameters (construction, geometry and material). The wear assessment through the classical field-testing approach consumes significant time and resources. Therefore, digital predictive tools are very useful in predicting wear characteristics at the early stage of the tyre development process.</div><div class="htmlview paragraph">In this study, an attempt has been made to capture the impact of tread geometry, tread material, vehicle geometry, vehicle speed, test track geometry, etc. on tyre wear. A commercial finite element code, Abaqus was utilized for tyre structural simulation and the frictional energy has been considered as a key indicator to estimate the propensity of tyre wear. The vehicle modelling is done in a multibody dynamics software Adams. It has been found that tyre stiffness and tread block geometry have a direct influence on tyre wear potential. A correlation between cornering stiffness and wear potential has been also observed. Furthermore, from a vehicle perspective, the effect of the positioning of the tyre on corresponding axles and test track geometry has been analysed.</div></div>

Publisher

SAE International

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