Performance analysis and geometry optimization of metal belt-based continuously variable transmission systems using multi-objective particle swarm optimization

Autor: H. Bakhshi Khaniki, H. Zohoor, S. Sohrabpour
Rok vydání: 2017
Předmět:
Zdroj: Journal of the Brazilian Society of Mechanical Sciences and Engineering. 39:4289-4303
ISSN: 1806-3691
1678-5878
DOI: 10.1007/s40430-017-0816-7
Popis: In this article, push-belt continuously variable transmission (CVT) systems are studied and the effects of different geometrical parameter variations such as pulleys angle, length of belts, distance between centers of driver and driven parts of CVT, etc. are investigated. To reach a proper model, geometrical optimization is done on P811 Bosch CVT. In the first step, particle swarm optimization (PSO) method is used to optimize the system. Output torque capacity was selected as the goal of the optimization and the result is calculated. In the same way by having the efficiency term as the goal of the optimization, study is done and result is presented. It is seen that single objective optimization does not announce a proper answer, and for this reason, multi-objective particle swarm optimization (MOPSO) is done and a set of non-dominated results as Pareto front is presented in which makes the selection simpler between different best answers. This study could be useful in designing more efficient CVT systems by varying some geometrical properties of push-belt CVT model.
Databáze: OpenAIRE