一种新型起重机吊臂的轻量化设计与研究

首先提出一种新型类椭圆吊臂,以有限元分析软件ANSYS Workbench协同仿真平台为工具,利用其DM(几何建模)、Mechanica(l结构有限元分析)及DX(优化设计)三大模块之间无缝接口,完成了吊臂的参数化建模、结构分析和轻量化设计。针对优化过程中设计变量非线性程度高的特点,利用DX模块,将基于神经网络的响应面法与MOGA(多目标遗传算法)相结合,对吊臂结构进行了优化,有效地降低了吊臂的重量。结果表明该方法合理可行,为今后包括大型起重机在内的相关工程机械设计提供了参考方法。

Lightweight Design and Research for a New Type Crane Arm

A new type of similar-oval crane arm is presented in this paper.Based on the powerful finite element analysis software-ANSYS Workbench co-simulation platform,it has completed the parametric modeling,finite element analysis of the structure and the lightweight design of the arm by using the seamless interface of DM(Geometry Modeler),Mechanical(Structure Analysis)and DX(Optimization Design) module.Characterized by a high degree of nonlinearity,the structure of the crane arm is optimized via combining the response surface method based on the neural network with the MOGA(Multi-Objective Genetic Algorithm)belong to the DX module,the weight of the crane arm has a significant reduction finally.This result which is reasonably practicable provides a reference method for engineering mechanism design including large-scale crane arm in the future.