Process Parameters Optimization in Turning of Aluminum Using a New Hybrid Approach
نویسندگان
چکیده
In the present work, mathematical models have been developed for the prediction of surface roughness and material removal rate in turning of aluminum on CNC lathe. Turning process parameters: cutting speed, feed, and depth of cut are used as inputs to the developed models. Response surface methodology approach has been adopted to develop these statistical models. Further, multi-objective genetic algorithm optimization technique is applied to find the optimum values of these parameters. Experiments have been conducted to validate the developed models.
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