ANN and multiple regression method-based modelling of cutting forces in orthogonal machining of AISI 316L stainless steel
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-014-1721-y.pdf
Reference50 articles.
1. Ciftci I (2005) The influence of cutting tool coating and cutting speed on cutting forces and surface roughness in machining of austenitic stainless steels. J Fac Eng Arch Gazi Univ 20(2):205–209
2. Ozer A, Bahceci E (2009) Machinability of AISI 410 martensitic stainless steels depending on cutting tool and coating. J Fac Eng Arch Gazi Univ 24(4):693–698
3. M’Saoubi R, Chandrasekaran H (2011) Experimental study and modeling of tool temperature distribution in orthogonal cutting of AISI 316L and AISI 3115 steels. Int J Adv Manuf Technol 56:865–877
4. Waled ME, Tahir IK (2011) Eutectic bonding of austenitic stainless steel 316L to magnesium alloy AZ31 using copper interlayer. Int J Adv Manuf Technol 55:235–241
5. Kıvak T, Samtas G, Çiçek A (2012) Taguchi method based optimisation of drilling parameters in drilling of AISI 316 steel with PVD monolayer and multilayer coated HSS drills. Measurement 45:1547–1557
Cited by 83 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. Investigation of Electrical Discharge Machining Efficiency with Cryogenic Copper Electrodes for AISI D2 Steel: Enhancing Material Removal Rate, Reducing Electrode Wear Rate, and Minimizing Machining Time;Journal of Materials Engineering and Performance;2024-08-16
2. Study on the forming mechanism and evolutionary pattern of stagnant region in mechanical scratching;Scientific Reports;2024-08-02
3. Multiobjective optimization of end milling parameters for enhanced machining performance on 42CrMo4 using machine learning and NSGA-III;Machining Science and Technology;2024-07-26
4. A Study of Drilling Parameter Optimization of Functionally Graded Material Steel–Aluminum Alloy Using 3D Finite Element Analysis;Journal of Manufacturing and Materials Processing;2024-07-23
5. Cutting Performance of TiN/TiSiN Coated Tool during Turning of Ti6Al4V Titanium Alloy;Journal of Materials Engineering and Performance;2024-07-17
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