MULTI-OBJECTIVE OPTIMAL DESIGN OF GEAR TRANSMISSION BASED ON GENETIC ALGORITHM WITH RESPECT TO EHL EFFECT

Abstract

Abstract: The influence of gear parameters on its lubrication effect is studied by the theory of elasto-hydrodynamic lubrication (EHL). The mathematical model of optimizing gear transmission is established by coordinating the objectives of minimizing volume and maximizing the film thickness ratio. The model consists of continuous and discrete arguments and is solved by genetic algorithm. Artificial neural network is used to simulate different curves. The system combines the advantages of genetic algorithm and artificial neural network. Numerical examples demonstrate its effectiveness.

Key words: Artificial neural network, EHL, Gear transmission, Genetic algorithm, Multi-objective optimal design

CLC Number:

TH132

Yin Jian;Xie Qingsheng;Luo Yanke;Chen Lunjun. MULTI-OBJECTIVE OPTIMAL DESIGN OF GEAR TRANSMISSION BASED ON GENETIC ALGORITHM WITH RESPECT TO EHL EFFECT[J]. , 2003, 39(6): 63-66.

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MULTI-OBJECTIVE OPTIMAL DESIGN OF GEAR TRANSMISSION BASED ON GENETIC ALGORITHM WITH RESPECT TO EHL EFFECT

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