基于多目标遗传算法的拖拉机变速箱体优化设计

Optimization Design of Tractor Gearbox Body Based on Multi- objective Genetic Algorithm

提出基于ANSYS Workbench平台箱体结构的有限元模型建立方法,对其在最大载荷工况下进行静力分析。以保证结构刚度为约束条件,以减轻结构重量和提高结构强度为目标,采用多目标遗传算法对箱体结构关键参数进行优化设计。结果表明,多目标遗传算法能在可行域内快速准确地获得箱体结构优化设计的Pareto最优解集,在满足结构刚度的前提下,实现箱体结构的优化设计。

The finite element model of gearbox body is established based on ANSYS Workbench and its static performance is ana- lyzed in the condition of the maximum load. Aiming to reduce structural weight and improve structural intensity, ensuring the struc- tural stiffness as the constraint condition, the key structural parameters of gearbox body is optimally designed by using multi - objec- tive genetic algorithm. The optimization results show that the Pareto optimal solution set of the gearbox body structural lightweight design problem can be obtained quickly and accurately in the feasible region through multi - objective genetic algorithm and the op- timization design of structure is achieved under the premise of meeting structural stiffness.