Tool flank wear prediction in CNC turning of 7075 AL alloy SiC composite
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11740-010-0282-x.pdf
Reference36 articles.
1. Bhushan RK, Kumar S, Das S (2010) Effect of machining parameters on surface roughness and tool wear for 7075 Al alloy SiC composite. Int J Adv Manuf Technol. doi: 10.1007/s00170-010-2529-2
2. Palanisamy P, Rajendran I, Shanmugasundaram S (2008) Prediction of tool wears using regression and ANN models in end-milling operation. Int J Adv Manuf Technol 37:29–41
3. Sharma VS, Sharma SK, Sharma AK (2008) Cutting tool wear estimation for turning. J Intell Manuf 19:99–108
4. Chandrasekaran M, Muralidhar M, Murali Krishna C, Dixit US (2009) Application of soft computing techniques in machining performance prediction and optimization: a literature review. Int J Adv Manuf Technol. doi: 10.1007/s00170-009-2104-x
5. Chen JC, Chen JC (2005) An artificial-neural-networks-based in-process tool wears prediction system in milling operations. Int J Adv Manuf Technol 25:427–434
Cited by 24 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 on Machining SiCp/Al Composite Materials;Micromachines;2024-01-07
2. Comprehensive approach toward IIoT based condition monitoring of machining processes;Measurement;2023-08
3. Comparative analysis of different machine learning algorithms in prediction of cutting force using hybrid nanofluid enriched cutting fluid in turning operation;Materials Today: Proceedings;2023-05
4. Data‐driven prediction of the probability of creep–fatigue crack initiation in 316H stainless steel;Fatigue & Fracture of Engineering Materials & Structures;2022-10-17
5. Quantification of flank and crater wear in turning of AA7075/SiC composite;Advances in Materials and Processing Technologies;2022-09-05
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