Optimisation of Drilling Parameters of Metal Matrix Composites using Genetic Algorithm in the Taguchi Method

Autor:	P Murugesan, C V Subba Rao, P. Marimuthu, R. Jeyapaul, Y Sesha Rao, N. S. Kalyan Chakravarthy
Rok vydání:	2021
Předmět:	Taguchi methods Matrix (mathematics) Materials science Genetic algorithm Drilling Composite material
Zdroj:	IOP Conference Series: Materials Science and Engineering. 1126:012035
ISSN:	1757-899X 1757-8981
Popis:	This work presents the machining parameters optimization on machining metal matrix composites using genetic algorithm in the Taguchi method with the objectives of minimization of surface roughness, cutting force, maximization of metal removal rate, cutting power, specific cutting energy, cutting power and machining time. Experiments were conducted on aluminium silicon carbide Metal Matrix composite using TiN coated HSS twist drills. Optimal setting of parameters have been identified using Taguchi Technique and Genetic algorithm. Genetic algorithm is developed in ‘C’ language. The presented work gives a better results and it can be used for any machining parameter optimization in solving multiple response problems.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::47cc9564d6eb01f5c50ca0d0430ca3fe https://doi.org/10.1088/1757-899x/1126/1/012035 Zobrazit plný text záznamu