Multiobjective Design Optimization of Lightweight Gears

Abstract

Lightweight gears have the potential to substantially contribute to the green economy demands. However, gear lightweighting is a challenging problem where various factors, such as the definition of the optimization problem and the parameterization of the design space, must be handled to achieve design targets and meet performance criteria. Recent advances in FE-based contact analysis have demonstrated that using hybrid FE–analytical gear contact models can offer a good compromise between computational costs and predictive accuracy. This paper exploits these enabling methodologies in a fully automated process, efficiently and reliably achieving an optimal lightweight gear design. The proposed methodology is demonstrated by prototyping a software architecture that combines commercial solutions and ad hoc procedures. The feasibility and validity of the proposed methodology are assessed, considering the multiobjective optimization of a transmission consisting of a pair of helical gears.

Towards Condition Monitoring: Fabrication and Finite Element Analysis of A Helical Gear Transmission Rig for Fault Simulation

“…In the work of [12], the implementation of FEA was utilized within a fully automated framework. The proposed approach had lead to a proficient and reliable achievement of an optimal lightweight gear design.…”

Advances of Machine Design in Italy 2022

“…A design of a planar parallel mechanism installed on a fast-operating automatic machine is discussed in [7], where the mechanism design is optimized in order to reduce the observed vibrations. An advanced methodology, such as multi-objective design optimization, is employed in [8] to efficiently and reliably achieve an optimal lightweight gear design. Paper [9] looks at the squeeze film dampers (SFDs), i.e., components used in many industrial applications, ranging from turbochargers to jet engines.…”