Prediction and control of surface roughness in CNC lathe using artificial neural network
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modeling and Simulation,Ceramics and Composites
Reference30 articles.
1. Surface roughness prediction based on cutting parameters and tool vibrations in turning operations;Abouelatta;Journal of Materials Processing Technology,2001
2. Surface roughness prediction by factorial design of experiments in turning processes;Arbizu;Journal of Materials Processing Technology,2003
3. Prediction of surface roughness in CNC face milling using neural network and Taguchi's design of experiments, robotics and computer integrated manufacturing;Benardos;Robotics and Computer-Integrated Manufacturing,2002
4. A generic intelligent control system for grinding;Brian;Computer Integrated Manufacturing Systems,1997
5. Surface roughness in the turning of high-strength steel by factorial design of experiments;Choudhury;Journal of Material Processing Technology,1997
Cited by 164 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. Artificial neural network-based risk assessment for occupational accidents in the shipbuilding industry in Turkey;Neural Computing and Applications;2024-08-12
2. A COMPARATIVE MODELING AND OPTIMIZATION OF SURFACE ROUGHNESS IN THE END MILLING OF Al 3003 SUBJECTED TO NON-EQUAL CHANNEL ANGULAR PRESSING (NECAP);Surface Review and Letters;2024-07-16
3. Modeling and Prediction of Surface Roughness in Hybrid Manufacturing–Milling after FDM Using Artificial Neural Networks;Applied Sciences;2024-07-09
4. Investigating tool wear rate and surface quality of hardened tool steel: a fuzzy-MARCOS analysis and response surface methodology study;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-06-22
5. Ensemble learning-enabled early prediction of dimensional accuracy for complex products during investment casting;Journal of Manufacturing Processes;2024-03
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