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

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 pow...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2021-03, Vol.1126 (1), p.12035
Main Authors: Rao, C V Subba, Rao, Y Sesha, Marimuthu, P, Jeyapaul, R, Chakravarthy, N S Kalyan, Murugesan, P
Format: Article
Language:English
Subjects:
Aluminum
Cutting energy
Cutting force
Cutting parameters
Genetic algorithms
Machining
Metal matrix composites
Optimization
Parameter identification
Process parameters
Silicon carbide
Surface roughness
Taguchi methods
Temperature
Twist drills
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Summary: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.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/1126/1/012035