• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2015, Volume: 8, Issue: 36, Pages: 1-9

Original Article

Effect of Machining Parameters and Optimization of Machining Time in Facing Operation using Response Surface Methodology and Genetic Algorithm


The objective of this research is to select the machining parameters and its cutting conditions to increase the productivity and minimize of total machining time and machining cost. A significant improvement in process may lead to increase in the process efficiency and low cost of manufacturing. In this research, Spindle speed, Feed rate, Depth of cut and End relief angle are considered as input parameters for facing operation of the A22E Bimetal bearing material using M42 HSS tool material. A second order mathematical model was developed by using Design of Experiments (DoE) of Response Surface Methodology (RSM) to predict the machining time of Bimetal bearing material. The Analysis of Variance (ANOVA) was used to study the performance characteristics in facing operation. The direct and interaction effects of the machining parameters were also analyzed using Design Expert software. The values of Prob > F less than 0.05 indicate model terms are significant. The Genetic Algorithm (GA) was trained and tested by using MATLAB 7.0. The GA recommends 1.169 seconds as the best minimum predicted machining time value. The confirmatory test shows the predicted values and experimental values were very close and good agreement.
Keywords: Depth of Cut, End Relief Angle, Feed Rate, Genetic Algorithm (GA), Machining Time, Response Surface Methodology (RSM), Spindle Speed 


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