DEVELOPMENT OF THE TARGET FUNCTION OF THE GENETIC ALGORITHMFOR OPTIMIZATION OF THE MASS OF GEARBOX PARTS DURING FDM PRINTING

Nowadays, 3D printing has become an important prototyping tool that accelerates the introduction of new technical solutions. This paper is devoted to the optimization of the mass of parts made of plastic using FDM-printing. The task is to select part parameters that optimize the mass of components and plastic consumption during the printing process. Genetic algorithms (GA) and computer modeling are used for this purpose. In the article a target function minimizing the mass of gear components is developed and the final optimal solutions of verification calculations of the gear for contact strength, bending endurance and shaft strength, as well as for static strength and contact strength calculated with the help of GA are given. The method proposed in the paper is illustrated by the example of gear mass optimization for a spur gear.