Multi-objective optimization of gear unit design to improve efficiency and transmission error

Autor: Jérôme Bruyère, Emmanuel Rigaud, Emna Ben Younes, Christophe Changenet, Joël Perret-Liaudet
Rok vydání: 2022
Předmět:
Zdroj: Mechanism and Machine Theory. 167:104499
ISSN: 0094-114X
DOI: 10.1016/j.mechmachtheory.2021.104499
Popis: This study aims to implement multi-objective optimization of a gear unit in order to minimize the power loss and the vibrational excitation generated by the meshing, via a multi-scale approach that extends from gear contact to the complete transmission. All these indicators are closely linked to the macro and micro-geometry definition of the gear pair. The optimization is carried out using a genetic algorithm, namely the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). The design variables chosen for the problem are the pressure angle and the helix angle, as macro-geometry characteristics of the gear, and/or the length and the amount of tooth profile modifications, as micro-geometry characteristics of the gear. Constraints are imposed in order to not exceed a maximum bending stress at the tooth root of the gear and to not fall below a minimum total contact ratio. From the results obtained, it is found that the multi-objective optimization with both micro and macro-geometry parameters simultaneously gives different results than those obtained with macro-geometry first and then micro-geometry parameters. In order to study the importance, or not, to take into account the complete gear unit, a comparison is made between the local power loss generated by gear tooth friction and the total power loss in the single stage gear unit in terms of design variables values.
Databáze: OpenAIRE