MULTI-OBJECTIVE OPTIMIZATION OF SPIRAL BEVEL GEAR PAIR DESIGN USING NON-DOMINATED SORTING GENETIC ALGORITHM II

摘要

Spiral bevel gears mesh with additional overlapping tooth action is compared to straight bevels. Because of this, the transmission of motion will be smoother than that achieved by straight bevel gears or zero bevel gears. As a result they have reduced noise and vibration, particularly occurring at high speeds. Weight reduction with simultaneous increase in transmission efficiency, achieved by optimization method, is very much essential for gear applications, which transmit very high mechanical power, with a significant reduction in speed. In many instances, in order to satisfy technical, economic and security requirements, it is essential to undertake a long development process. This research paper aims to optimize the design of a pair of spiral bevel gears, using NSGA-II, a non-dominated sorting genetic algorithm for optimization of multiple objective functions.