Analysis of Machining Parameters for Turning of AL-6061 and Optimization

Analysis of Machining Parameters for Turning of AL-6061 and Optimization

Dr. Qasim Murtaza1, Baibhav Kumar1, Anant Vohra2 Anshuman Piyush3

1Professor , Department of Mechanical Engineering, Delhi Technological University, New Delhi, India

1Undergraduate Student, Department of Mechanical Engineering, Delhi Technological University, New Delhi, India

2Undergraduate Student, Department of Mechanical Engineering, Delhi Technological University, New Delhi, India

3Undergraduate Student, Department of Mechanical Engineering, Delhi Technological University, New Delhi, India

Abstract: The paper shows and includes targeted supervision of optimizing machining parameters. Material Removal Rate and surface roughness being integral to machining efficacy of any workpiece , simulation based modeling helps in failure mitigation.The potential of ANN-GA mathematical approach for prediction and optimization of MRR and surface roughness of AL 6061 , a analysis based statistical study has been discussed. The computational model between the desired output and the inputs have been configured using Multiple Regression- Genetic Algorithm and Artificial Neural Network(ANN) methods. The closeness in predicted and optimized data sets were mapped using integrational ANN with GA to interpolate efficacy in optimality.

Keywords: Artificial Neural Network(ANN)k, Material Removal Rate(MRR), Genetic algorithm(GA), Surface roughness , depth of cut , feed rate , Regression analysis, ANOVA