Prototype application development for machining optimization of cutting parameters using Genetic Algorithms (GA) method for turning machine
The primary purpose of this thesis project is to design and develop a prototype application to find the optimum combination of cutting parameters; cutting speed (v), feed (f), and depth of cut (d) in turning machine as a product development. in reality, setting the cutting parameters is not being considered as an optimization. the operators usually set the cutting parameters based on manual table which might not the most optimum parameters. the optimization is based on two objectives, which are minimizing production time and cost. the implementation of optimization in this application is based on Genetic Algorithms (GA) method and Taylor tool life formula will be used in calculating tool life time and cost. the prototype application has been tested and validated with a prospect will be very helpful tool for operators in terms of selecting the optimum cutting parameters. in this project, Genetic Algorithms (GA) is used only to find the optimum cutting parameters and in future, it can be used to find which machine and which cutting tools is the best option for the operation.
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