A Study of Different Optimization Methods of Tool Path Machines (Tool Path Optimization by Using Genetic Algorithm)

Abstract

Operation optimization for the computer numerical control (CNC) machines is an important issue in the industry since it directly influences the cost of production. So far, lots of researchers have applied some optimization techniques and made achievements in improving the speeds of the CNC machines. The Tool Path Machine (TPM) is a cutting machine which has been used for cutting, drilling or some other operations on a specific object. The current TPMs are not that much flexible in handling operations on different objects and on different planes, as well as, cutting sequences are not efficient enough for some tasks and situations for the CNC machines. In this research study, we also aim to optimize the Tool Path Machine (TPM) with one of the optimization techniques - Genetic Algorithm(GA) for enhancing the manufacturing process time efficiency. By changing the condition in system and the coordinate of points, the machine will be able to reconfigure the processes and find another way to accomplish the task in the fastest possible way. This makes the TPM more flexible to accept new tasks just by giving the machine the coordinates. To achieve this goal, a study of the previous works which had been done in this area of interest was undertaken and a comparison of their techniques and methods was carried out to better understand the optimization techniques and the GA methods which have been used in their study.