Modeling the Progression of Flank Wear on Uncoated and Ceramic-Coated Polycrystalline Cubic Boron Nitride Tools in Hard Turning

Author:

Dawson Ty G.1,Kurfess Thomas R.2

Affiliation:

1. Milliken Research Corporation, P. O. Box 1927, M-405, Spartanburg, SC 29303

2. George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, MARC 435, Atlanta, GA 30332-0405

Abstract

Abstract Accurate wear modeling has always been desired, but has also been difficult and elusive. Most useful wear models have relied on experimental calibration because the physical wear mechanisms are not fully understood. This is particularly true in machining, where contact stresses and temperatures can be extremely high. In machining, the two wear modes most frequently discussed are crater wear and flank wear. Flank wear receives much more attention because it is easier to measure and the mechanism of material loss is thought to be better understood for most machining situations. This work focuses on flank wear for the same reasons. In hard turning, tool life is relatively short and both crater wear and flank wear influence the cutting process substantially. Understanding the progression of flank wear at various cutting conditions is beneficial in itself, but the ability to predict this progression will be extremely valuable. This work addresses both. Experimental flank wear progression is shown for uncoated and ceramic-coated polycrystalline cubic boron nitride (PCBN) tools at a range of cutting conditions. These data are used to calibrate a proposed mechanical wear model that predicts the progression of flank wear and tool failure points based on the cutting speed, feed, and cutting depth. The model was validated by additional experiments, which show good agreement with the predictions.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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