Abstract

The paper presents procedure for design optimization of a spur gear set with the objective of minimization of the gear weight, contact stress along path of contact and optimum film thickness at the contact point. Particle swarm optimization, particle swarm optimization based teaching learning optimization and Jaya algorithms are presented here to ensure the remarkable reduction in weight and contact stress of a profile modified spur gear set with adequate film thickness at the point of contact. The parametric and sensitivity analysis performed here recommended the manufacturing tolerance to be maintained for the different critical design variables. The contact stress analysis using finite element method suggested the use of negatively altered tooth sum spur gear for compact design with better strength balance and scoring resistance. The optimized values of addendum co-efficient within the design space significantly improves the gear design as compared to the conventional design.

摘要

本文介绍了正齿轮组的设计优化程序，其目标是最小化齿轮重量、沿接触路径的接触应力以及接触点处的最佳油膜厚度。本文介绍了粒子群优化、基于粒子群优化的教学优化和 Jaya 算法，以确保在接触点处具有足够膜厚的变形正齿轮组的重量和接触应力显着降低。这里进行的参数和灵敏度分析建议针对不同的关键设计变量保持制造公差。使用有限元方法进行的接触应力分析表明，采用负变齿数正齿轮进行紧凑设计，具有更好的强度平衡和抗划伤性。