Lightweight optimization design of arm frame for aerial work platform based on NSGA-II algorithm

Abstract

Abstract In the previous lightweight design of the arm of aerial work platform, it is difficult to balance the relationship between lightweight and stiffness reduction. This paper proposes a lightweight design that minimizes the variation stiffness while reducing weight. Taking the arm mass and stiffness variation as the objective, which constrained by yield strength and stiffness of the material, the Pareto front of each arm section size is obtained by the second generation of elite strategy non-dominated sequencing genetic algorithm (NSGA-II). Finally, the finite element model is established by ANSYS to compare the static and dynamic performance of the arm before and after optimization. The results show that the weight of the optimized arm is reduced by the original 13.3%, lightweight effect is remarkable.