Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment
Reference34 articles.
1. Power prediction model for turning EN-31 steel using response surface methodology;Abhang;J. Eng. Sci. Technol. Rev.,2010
2. Optimizing power consumption for CNC turned parts using response surface methodology and Taguchi’s technique—a comparative analysis;Aggarwal;J. Mater. Process. Technol.,2008
3. Recent advances in modelling of metal machining processes;Arrazola;CIRP Ann. – Manuf. Technol.,2013
4. Estimating the effect of cutting parameters on surface finish and power consumption during high speed machining of AISI 1045 steel using Taguchi design and ANOVA;Bhattacharya;Prod. Eng.,2009
5. Optimization of cutting parameters for minimizing power consumption and maximizing tool life during machining of Al alloy SiC particle composites;Bhushan;J. Clean. Prod.,2013
Cited by 239 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. Optimization and ranking of the input parameter settings of sustainable grinding using cashew nut shell liquid as cutting fluid;Materials Research Express;2024-08-01
2. AI-based optimisation of total machining performance: A review;CIRP Journal of Manufacturing Science and Technology;2024-06
3. Cutting Energy Consumption Modeling by Considering Tool Wear and Workpiece Material Properties for Multi-Objective Optimization of Machine Tools;Coatings;2024-06-01
4. Análise das superfícies de resposta da diluição e morfologia do cordão em processo de soldagem MIG-PV;Revista de Gestão e Secretariado;2024-05-28
5. A methodology for multiple performances optimization of computer numerical controlled (CNC) machining process based on design of experiment, multi-criteria decision-making and multiple regression model;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-05-27
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