Optimization of Cutting Parameters during Hard Turning using Evolutionary Algorithms
Author:
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119644552.ch4
Reference26 articles.
1. Fuzzy logic for modeling machining process: a review
2. Optimization of Multistage Machining Systems, Part 1: Mathematical Solution
3. Machining Parameters Optimisation for Turning Cylindrical Stock into a Continuous Finished Profile Using Genetic Algorithm (GA) and Simulated Annealing (SA)
4. Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of GFRP composites
5. Health assessment and life prediction of cutting tools based on support vector regression
Cited by 5 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. Influence of cutting parameters on laser assisted machining of C103 Nb alloy;Advances in Materials and Processing Technologies;2022-08-16
2. A hybrid particle swarm optimization and recurrent dynamic neural network for multi-performance optimization of hard turning operation;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2022
3. Designing and implementation of a novel online adaptive control with optimization technique in hard turning;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2020-09-10
4. Process parameters influence on laser-assisted machining-induced residual stresses;Materials and Manufacturing Processes;2020-07-07
5. Intelligent model-based optimization of cutting parameters for high quality turning of hardened AISI D2;Artificial Intelligence for Engineering Design, Analysis and Manufacturing;2020-03-03
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