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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: Gear
transmission Multi-objective optimal design EHL Genetic algorithm
Artificial neural network
CLC No: TH132
Received
20020718, received in revised form 20030115
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