GPSO algorithm in HCR gearing geometry optimization

Abstract

High contact ratio (HCR) gearing is a special kind of the basic involute profile gearing with higher contact ratio, since there are always at least two pairs of teeth in contact. Compared to standard gearings, HCR gearings have greater load capacity, higher resistance and a lower relative noise level. Their main drawbacks are more complicated design than standard involute profiles, greater predisposition for interference, pointed tip thickness and undercut of teeth during production. There is also a larger possibility of some interference or pointed tooth tip occurring. All these issues represent serious design constraints which need to be resolved in the design phase. In this paper, a new method for HCR gearing design is proposed, which uses Generalized Particle Swarm Optimization Algorithm (GPSO) for gearing parameters optimization. This recently introduced global optimization method enables finding of global optimal solution(s), ensuring that all relevant design and function constraints are satisfied.

Keywords

• gears
• hcr gearing
• geometry
• optimization
• gpso algorithm