Design and optimization of nylon 66 reinforced composite gears using genetic algorithm

Abstract Lightweight and medium strength gears are very important in robotics and toys industries. In this paper, a short fiber reinforced thermoplastic materials are implemented to design the spur gears. Four types of materials with different compositions and main element is nylon 66 is considered in this present work. Initially, a robotic gear model is optimized using genetic algorithm by considering deformation and bending stress as constrains. These data are used to prepare the 3D model in CATIA software. Further analysis was planned in simulation tool called ABAQUS. Static structural, frequency and critical load analysis is performed using this software. The study on how dynamic loads on shaft are affected when the gear assembly rotates is done in this work. The results are compared to define the optimum and best suitable material for lightweight gears.