Machining Parameter Optimization for Cylindrical Part in CNC Turning Centre Using Mathematical Model and Genetic Algorithm Approach
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
This paper presents machining parameters (turning process) optimization based on the use of artificial intelligence. To obtain greater efficiency and productivity of the machine tool, optimal cutting parameters have to be obtained. In order to find optimal cutting parameters, the genetic algorithm (GA) has been used as an optimal solution finder. Optimization has to yield minimum machining time and minimum production cost, while considering technological and material constraints.
Authors and Affiliations
Abhishek Agrawal, Dr. R. S. Rajput, Dr. Nitin Shrivastava
Keywords
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