Numerical Control Machining Simulation and Machining Route Optimization of Mould Based on Genetic Algorithm

Among them, mold selection is very important in the programming of generating mold motion trajectory, which is related to the machining accuracy, efficiency and service life of the mold. For this reason, the principle of mold selection needs to be clarified. In CNC drilling or reaming during processing, the proportion of hole group processing is very large, and it is difficult for the programmer to randomly determine the processing path of the hole group to achieve the optimization of the path, which will greatly affect the production efficiency in mass production. When using the post software to process the processing path, sometimes Cause the mold to jump back and forth between several areas. The genetic algorithm is used to optimize the evolution of the process route of the CNC machining center machine tool, and the same selection, crossover or mutation operations are performed. Only work on the fitness function corresponding to the problem itself, without any other prerequisites or auxiliary information to solve the optimal problem. However, the size of the die cannot be increased blindly. When the die size is too large, the unprocessed volume will increase, and the subsequent finishing will be difficult. Therefore, many common approximate solutions have been proposed. At present, path planning with genetic algorithm has become a research hotspot. The advantage of genetic algorithm is that it can deal with constraints well, has strong robustness, has potential parallelism and strong global search ability. Therefore, a more reasonable die selection optimization method is proposed, and a more complete die optimization system is established. This paper mainly focuses on the simulation of die NC machining by genetic algorithm, so genetic algorithm can better solve the problem of machining path optimization.