Optimization of Screw Elements by Genetic Algorithm

Abstract

In the present study, dimensional optimization of screw system elements, like shaft diameter, arm length and nut height, has been performed by tensile, torsional, and shear strength calculations via genetic algorithm. Genetic algorithm has been used to minimize the objective function work with the idea of natural selection. The volume of the designed screw device has been defined as the object function. The limit function is composed of the total stresses affecting the screw system. The algorithm was set up in this way, due to the fact that it relies on the principle of finding the best in a genetic process. Values of the variables within the limiting intervals ensure that the screw device has an optimum size.