Integrating Box-Behnken design with genetic algorithm to determine the optimal parametric combination for minimizing burr size in drilling of AISI 316L stainless steel |
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| Authors: | V. N. Gaitonde S. R. Karnik B. Siddeswarappa B. T. Achyutha |
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| Affiliation: | (1) Industrial & Production Engineering Department, B.V.B. College of Engineering & Technology, Hubli, 580031, India;(2) Electrical & Electronics Engineering Department, B.V.B. College of Engineering & Technology, Hubli, 580031, India;(3) Industrial & Production Engineering Department, U.B.D.T. College of Engineering, Davangere, 577004, India;(4) Mechanical Engineering Department, Bapuji Institute of Engineering & Technology, Davangere, 577004, India |
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| Abstract: | This paper illustrates the methodology of genetic algorithm (GA) based multi-objective drilling process optimization. The optimal values of cutting speed, feed, point angle and lip clearance angle for a specified drill diameter were determined using GA, which simultaneously minimize burr height and burr thickness at the exit of holes during drilling of AISI 316L stainless steel. The burr size models required for GA optimization were developed using response surface methodology (RSM) with drilling experiments planned as per Box-Behnken design. The GA optimization results reveal that point angle has a significant role in controlling the burr size. |
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| Keywords: | Box-Behnken design of experiments Burr size Drilling Genetic algorithm Response surface methodology |
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