洗扫车副车架抗疲劳轻量化设计  

Anti-fatigue and Lightweight Design of Subframe of Cleaning Sweeper Truck

作　　者：林育恒 Lin Yuheng

机构地区：[1]河南轻工职业学院,河南省郑州市450003

出　　处：《工程机械》2024年第11期100-105,I0025,共7页Construction Machinery and Equipment

基　　金：整车轻量化关键技术研究(2018YFB0106204-03)。

摘　　要：为实现在不降低洗扫车副车架疲劳寿命前提下达到减重的目的,采用有限元分析和疲劳寿命分析理论相结合的方法对洗扫车副车架进行静态分析和疲劳寿命分析。参考静态分析和疲劳寿命分析的结果,选取副车架横梁、纵梁和加强板的厚度作为设计变量,以副车架质量和疲劳寿命为优化目标,建立副车架结构的抗疲劳轻量化模型;利用遗传算法对副车架进行基于多项式拟合和BP神经网络近似模型的抗疲劳轻量化设计。优化后,在副车架寿命略微提高的情况下,整体质量减少了8.1 kg,较好地实现了轻量化目标。To achieve the purpose of weight reduction without reducing the fatigue life of the subframe of the cleaning sweeper truck,a combination of finite element analysis and fatigue life analysis theories is adopted to carry out static analysis and fatigue life analysis of the subframe of the cleaning sweeper truck.With reference to the results of static analysis and fatigue life analysis,the thickness of the crossbeam,longitudinal beam and reinforcement of the subframe is selected as the design variable,and with the subframe mass and fatigue life as the optimization objectives,an anti-fatigue and lightweight model of the subframe structure is established.The anti-fatigue and lightweight design of the subframe based on polynomial fitting and BP neural network approximation model is carried out by using genetic algorithm.After optimization,the overall mass is reduced by 8.1 kg with a slight increase in the life of the subframe,and the lightweight objective is well achieved.

关 键 词：副车架 轻量化 疲劳寿命 BP神经网络 

分 类 号：U469.691[机械工程—车辆工程]