Two-Body Abrasive Wear Behavior and Its Correlation With Mechanical Properties of Aged AA6063 Alloy

Author:

Sekhar Aluru Praveen1,Das Debdulal1

Affiliation:

1. Department of Metallurgy and Materials Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah 711103, West Bengal, India

Abstract

Abstract This study aims to correlate the abrasive wear performance with mechanical properties, considering AA6063 Al–Mg–Si alloy as the model material. The selected alloy specimens are subjected to artificial ageing at 150 °C for an ageing duration ranging from 1 to 672 h, covering severely under-aged (SUA) to peak-aged (PA) to severely over-aged (SOA) states. Apart from the hardness and tensile properties, two-body abrasive wear properties are also evaluated for differently aged alloys in terms of wear-rate, coefficient of friction, and roughness of the abraded surfaces. Furthermore, the generated wear debris, surface, and subsurface of the abraded specimens are critically examined to reveal the micro-mechanisms of abrasion. The lowest amount of wear-rate is observed for a PA alloy with maximum hardness, while the OA alloy exhibits a slightly lower wear-rate than the UA alloy at a similar level of hardness. Statistical analyses of wear-rate and various mechanical properties of all heat-treated alloys establish a strong negative linear correlation between the wear-rate and hardness, yield strength, tensile strength, and strength coefficient, whereas a positive linear correlation with the strain hardening exponent. Relationships between wear-rate and different roughness parameters are also discussed. Under the investigated wear condition, the aged alloys endure significant plastic deformation; micro-plowing, micro-cutting, and delamination are found to be the predominant mechanisms during abrasion.

Publisher

ASME International

Subject

Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanical Engineering,Mechanics of Materials

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