Modelling of Tool Life in Turning Process Using Experimental Method
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Materials Science
Link
http://link.springer.com/content/pdf/10.1007/s12289-008-0298-3.pdf
Reference12 articles.
1. N. Tosun and L. Ozler, ‘A study of tool life in hot machining using artificial neural networks and regression analysis methods’, Journal of Materials Processing Technology, 124, (2002) 99–104
2. T. I. E. Wardany and M. A. Elbestawi, ‘Prediction of Tool Failure Rate in Turning Hardened Steels’, Int. J. Adv. Manuf. Technol., 13, (1997) 1–16
3. Y. Yao, C. Liu, Z. Yuan and Y. Lu, ‘Robustness improvement of tool life estimation assisted by a virtual manufacturing cell’, Journal of Materials Processing Technology, 172, (2006) 445–450
4. L. Przybylski and B. Slodki, ‘The Influence of Local Operating Features on the Cutting Parameters in Turning’, Int. J. Adv. Manuf. Technol., 13, (1997) 233–236
5. D. Kerr, J. Pengilley and R. Garwood, ‘Assessment and visualisation of machine tool wear using computer vision’, Int. J. Adv. Manuf. Technol., 28, (2006) 781–791
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. A review of cutting tool life prediction through flank wear monitoring;International Journal of Quality & Reliability Management;2024-05-31
2. Mini symposium on cutting and machining: 25 years of ESAFORM activity;International Journal of Material Forming;2022-04-07
3. Radial basis artificial neural network assisted multiple regression analysis of a GFRP turned composites;Materials Today: Proceedings;2021
4. Influence of cutting fluid conditions on tool wear and surface roughness in hard turning AISI-D2 Steel using mixed ceramic tools;Journal of Physics: Conference Series;2019-07-01
5. Analysis and modeling of surface roughness based on cutting parameters and tool nose radius in turning of AISI D2 steel using CBN tool;Measurement;2019-05
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