Tool flank wear model and parametric optimization in end milling of metal matrix composite using carbide tool: Response surface methodology approach
Author:
Publisher
Growing Science
Subject
Industrial and Manufacturing Engineering
Reference1 articles.
1. Tool flank wear model and parametric optimization in end milling of metal matrix composite using carbide tool: Response surface methodology approach
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. Characterization of mechanical properties and machineability parameters of aluminium alloy (Al7075) reinforced with silicon carbide (SiC) and tungsten carbide (WC) a hybrid metal matrix composite fabricated via centrifugal casting—a review;2ND INTERNATIONAL CONFERENCE & EXPOSITION ON MECHANICAL, MATERIAL, AND MANUFACTURING TECHNOLOGY (ICE3MT 2022);2023
2. Influence of machining parameters on the response variable during drilling of the hybrid laminate;Australian Journal of Mechanical Engineering;2019-12-19
3. A review on machining and optimization of particle-reinforced metal matrix composites;The International Journal of Advanced Manufacturing Technology;2018-10-23
4. Optimisation of End Milling Parameters on Aluminium/SiC Composites Using Response Surface and Artificial Neural Network Methodologies;Materials Science Forum;2013-07
5. Tool flank wear model and parametric optimization in end milling of metal matrix composite using carbide tool: Response surface methodology approach;international journal of industrial engineering computations;2012-04-01
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