Artificial Intelligence Optimization on Automobile Drive Axle Assembly
Drive axle assembly is one of the key components of automotive, and the design quality of drive axle assembly can affect the driving performance, fuel consumption and serve life of vehicle greatly, therefore it is very important to adopt optimization to design the final drive and planetary transmission of vehicle. To reduce size and weight of transmission, the objective function should be specified that the sum of volume of pitch cylinder of sun gear and planet gears in planetary transmission incline to minimum. The objective function with penalty terms is built by penalty strategy with addition type, so as to transform the constrained optimization into the unconstrained optimization.Then the simulated annealing algorithm based on penalty strategy is adopted to solver the optimization model.
Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding
P. Y. Xi and L. Chen, "Artificial Intelligence Optimization on Automobile Drive Axle Assembly", Applied Mechanics and Materials, Vols. 34-35, pp. 1920-1924, 2010