Tool Wear Monitoring at Turning

Author:

Waschkies E.1,Sklarczyk C.1,Hepp K.1

Affiliation:

1. Fraunhofer-Institute for Nondestructive Testing (IzfP), University, Building 37, D-66123 Saarbru¨cken, Germany

Abstract

A new method for automatic tool wear monitoring at turning has been developed based on the analysis of the continuous acoustic emission (machining noise) generated by the tool during machining. Different wear types (wear of tool flank face and tool chipping) result in changes in the different characteristic values of the noise signal. In case of a uniform abrasion of the insert, e.g., flank face or crater wear, an increased mean signal level is observed, whereas for microbreakage at the edge, an increase of the crest factor with nearly constant mean signal level is found. The burst-like signals from collision between chip and tool and from chip breakage have to be eliminated from analysis to avoid the distortion of the signal parameters of the continuous acoustic emission. This method should be well suited especially for monitoring of finishing processes (small depth of cut).

Publisher

ASME International

Subject

General Medicine

Cited by 13 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

1. Concept for soft sensor structure for turning processes of AISI4140;tm - Technisches Messen;2020-11-18

2. Tool condition monitoring during hard turning of AISI 52100 Steel: A case study;Materials Today: Proceedings;2018

3. The Design of a Multifunctional Remote-Control Intelligent Vehicle Based on STC89C52;Applied Mechanics and Materials;2015-09

4. Methodology for adapting metal cutting to a green economy;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2010-01-20

5. The effects of progressive wear on the frequency characteristic of acoustic emission acquired during face milling;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2005-11-01

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