登录 注册 会员服务 联系我们

A user-friendly fuzzy-based system for the selection of electro discharge machining process parameters

  • Published:2006-03 Issue:3 Volume:172 Page:363-371
  • ISSN:0924-0136
  • Container-title:Journal of Materials Processing Technology
  • language:en
  • Short-container-title:Journal of Materials Processing Technology

Author:

Yilmaz Oguzhan,Eyercioglu Omer,Gindy Nabil N.Z.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modelling and Simulation,Ceramics and Composites

Reference23 articles.

1. Total EDM, Electro Discharge Machining—Tooling and Applications;Houman,1983

2. Dielectric Fluids for Electro-Discharge Machining, MP639/82, BP Data Sheet, UK.

3. An investigation on tool wear in electric discharge machining (EDM);Cogun;Trans. Can. Soc. Mech. Eng.,2002

4. Investigation on the influence of machining parameters when machining tool steel using EDM;Haron;J. Mater. Process. Technol.,2001

5. Study of the effect of machining parameters on the machining characteristics in electrical discharge machining of tungsten carbide;Lee;J. Mater. Process. Technol.,2001

Cited by 65 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 Extensive Review of Various Optimization Techniques for Electric Discharge Machining;Prabha Materials Science Letters;2024-03-31

2. Experimental investigation to optimize machining parameters for super duplex stainless steel in spark EDM using die-sinking and MQL system;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2023-07-27

3. Servo Control of Micro Discharge Gap;Servo Scanning 3D Micro Electro Discharge Machining;2022-06-22

4. Fuzzy data-driven scenario-based robust data envelopment analysis for prediction and optimisation of an electrical discharge machine’s parameters;Expert Systems with Applications;2022-05

5. Machine learning model for discrete, nonlinear datasets from machining operation: an industrial need to have high quality;Multiscale and Multidisciplinary Modeling, Experiments and Design;2022-02-07
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