Simulation of modeling by GA approach

With the use of highly automated machine tools in the industry, manufacturing requires reliable models and methods for the prediction of output performance of machining processes. The present work deals with the study and development of a simulation system of the cutting process on the model of the ball-end milling process with GA. The system for simulation of the cutting process contains the experimental model and the simulation model based on genetic algorithms. A genetic algorithm (GA) based simulation procedure has been developed for the prediction of the cutting forces in ball-end milling. The GA procedure is illustrated with an example and results, to confirm the simulation system with different cutting modes and parameters.