الفهرس 
Composite Material UtilizationOnly 14 pages are availabe for public view
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Abstract
Design-optimization of power transmitted elements such as gears is a complicated process to accomplish as the mathematical model acquires to be in compliance with the optimization algorithm used. Utilization of technical standards and handbooks assisted engineers and designers with designing the gears, however the results were inefficient, thus meta-heuristic algorithms were approved for optimization, e.g., genetic algorithm. In this thesis, optimization of single stage spur gear pair made of Polyoxymethylene (POM) material was carried out using genetic algorithm (GA), artificial bee colony (ABC), JAYA, grey wolf optimizer (GWO), and whale optimization algorithm (WOA) using MATLAB. Three single functions were used as objectives, i.e., weight, power loss, and center distance (CD). Module (m), face width (b), number of pinion teeth (z1), and finally profile shifts (𝑥1 , 𝑥2) served as design variables. Unlike steel gears which were constrained by handling root bending stress and flank pressure, additional constraints were added to the problem with the increase of complexity such as root and flank temperature, tooth deformation, and wear abrasion. The results showed a significant decrease in all three objectives when optimizing each objective solely with variation of the variables.