Development of Computer Aided Process Planning (CAPP) for optimization of machining parameters using a genetic algorithm approach

This paper presents the application of genetic algorithms (GAs) in computer aided process planning (CAPP), and the development of a CAPP system based on a Genetic Algorithm, for optimizing the machining parameters of milling operations. An objective function based on maximum profit is used, while considering the practical constraints, such as acceptable feed rate and speed, surface finish, machine power, and cutting speed permit by the rigidity of the machine tool. An example is chosen from the available literature for comparing the results of the proposed technique with other handbook recommendations.