Indirect Monitoring Method of Tool Wear using the Analysis of Cutting Force during Dry Machining of Ti Alloys
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering
Reference15 articles.
1. Experimental determination of dynamic forces during transient orthogonal cutting
2. Sensor signals for tool-wear monitoring in metal cutting operations—a review of methods
3. Modeling of friction along the tool-chip interface in Ti6Al4V alloy cutting
4. Advanced monitoring of machining operations
Cited by 10 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. An experimental study of multi-sensor tool wear monitoring and its application to predictive maintenance;The International Journal of Advanced Manufacturing Technology;2024-06-13
2. An experimental study of multi-sensor tool wear monitoring and its application to predictive maintenance;2024-01-26
3. Cutting parameters influence on surface integrity of dry-turned Ti6Al4V alloy;Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications;2023-09-13
4. Indirect monitoring of machining characteristics via advanced sensor systems: a critical review;The International Journal of Advanced Manufacturing Technology;2022-05-04
5. Indirect tool wear measurement and prediction using multi-sensor data fusion and neural network during machining;Materials Today: Proceedings;2021-12
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