Machining parameter optimization using Adam – Gene Algorithm while turning lightweight composite using ceramic cutting tools
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Mechanics of Materials,General Materials Science
Reference20 articles.
1. A review on conventional and nonconventional machining of SiC particle-reinforced aluminium matrix composites;Chen;Adv. Manuf.,2020
2. Optimization for Engineering Design: Algorithms and Examples;Deb,2012
3. Kernel based regression and genetic algorithms for estimating cutting conditions of surface roughness in end milling machining process;Wibowo;Expert Syst. Appl.,2012
4. High speed cutting of Inconel 718 with coated carbide and ceramic inserts;Li;J. Mater. Process. Technol.,2002
5. Fabrication and machining of metal matrix composites: a review;Bains;Mater. Manuf. Process.,2015
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