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.
Acknowledgment
This research work is not funded by any organization. The authors acknowledge the computational facilities provided by Department of Mechanical Engineering VSSUT, Burla, India
Disclosure statement
The authors declare that they have no conflict of interest.
Data availability statement
The data that support the findings of this study are openly available in https://figshare.com/account/home/10.6084/m9.figshare.14775843.