Particle Swarm Optimization as an Efficient Computational Method in order to Minimize Vibrations of Multimesh Gears Transmission

作     者：Carbonelli, Alexandre Perret-Liaudet, Joel Rigaud, Emmanuel Le Bot, Alain 

作者机构：Univ Lyon Ecole Cent Lyon Lab Tribol & Dynam Syst UMR CNRS 5513 36 Ave Guy Collongue F-69134 Ecully France 

出 版 物：《ADVANCES IN ACOUSTICS AND VIBRATION》 (声学与振动进展)

年 卷 期：2011年第2011卷第unknown期

页      面：195642-1-195642-6页

学科分类：07[理学] 082403[工学-水声工程] 08[工学] 070206[理学-声学] 0824[工学-船舶与海洋工程] 0702[理学-物理学] 

基　　金：ANR (National Research Agency) [ANR-08-VTT-007-02] Denis BARDAY from Renault Trucks Company ADEME (French Environment and Energy Management Agency) Lyon Urban Trucks& Bus competitiveness cluster 

主　　题：computational methods Transmission systems order Static transmission error Particle swarm optimization manufacturing error Gears Helical gears particle swarm algorithm 

摘      要：The aim of this work is to present the great performance of the numerical algorithm of Particle Swarm Optimization applied to find the best teeth modifications for multimesh helical gears, which are crucial for the static transmission error (STE). Indeed, STE fluctuation is the main source of vibrations and noise radiated by the geared transmission system. The microgeometrical parameters studied for each toothed wheel are the crowning, tip reliefs and start diameters for these reliefs. Minimization of added up STE amplitudes on the idler gear of a three-gear cascade is then performed using the Particle Swarm Optimization. Finally, robustness of the solutions towards manufacturing errors and applied torque is analyzed by the Particle Swarm algorithm to access to the deterioration capacity of the tested solution.