Improvement of dry EDM process characteristics using artificial soft computing methodologies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Mechanical Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11740-012-0398-2.pdf
Reference26 articles.
1. Ramani V, Cassidenti ML (1985) Inert-gas electrical discharge machining. NASA Technical Brief Number NPO 15660
2. Kunieda M, Furuoya S, Taniguchi N (1991) Improvement of EDM efficiency by supplying oxygen gas into gap. CIRP Ann Manuf Technol 40:215–218
3. Kunieda M, Yoshida M, Taniguchi N (1997) Electrical discharge machining in gas. CIRP Ann Manuf Technol 46:143–146
4. Saha SK, Choudhury SK (2009) Experimental investigation and empirical modeling of the dry electric discharge machining process. Int J Mach Tools Manuf 49(3–4):297–308
5. Govindan P, Joshi SS (2010) Experimental characterization of material removal in dry electrical discharge drilling. Int J Mach Tools Manuf 50:431–443
Cited by 34 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. Optimizing of Novel Magnetic Field-Assisted Electrical Discharge Turning Parameters for Machining EN24 Steel Alloy Using Response Surface Methodology and MCDM-Based CRITIC–TOPSIS Method;Arabian Journal for Science and Engineering;2024-09-04
2. Performance Evaluation with Metallurgical Aspects on Groove Formation during Magnetic Field-Assisted Electrical Discharge Turning of EN24 Steel Alloy;Journal of Materials Engineering and Performance;2024-06-03
3. Smart manufacturing with transfer learning under limited data: Towards Data-Driven Intelligences;Materials Today Communications;2023-12
4. Experimental modeling techniques in electrical discharge machining (EDM): A review;The International Journal of Advanced Manufacturing Technology;2023-06-06
5. Experimental analysis of Inconel 625 alloy to enhance the dimensional accuracy with vibration assisted micro-EDM;International Journal on Interactive Design and Manufacturing (IJIDeM);2023-03-05
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