矿用卡车货箱二工况综合轻量化设计

Comprehensive lightweight design of mining truck cargo box under two working conditions

摘要:

为了提高工程运输车辆的燃油经济性,降低煤炭企业开采成本,以矿用卡车货箱为研究对象,提出一种矿卡货箱的二工况综合轻量化设计方法。首先,建立矿车货箱的有限元模型,分析了满载匀速行驶和举升卸货两种典型工况下货箱的强度性能。以两种典型工况建立参数优化模型,定义5个设计变量,采用最优拉丁超立方抽样法得到样本点,在建立的二工况综合分析模型中得到对应响应值。通过对不同近似模型比较验证,选定径向基函数(RBF)模型拟合变量与响应的关系。使用非支配排序遗传算法(NSGA-II)在近似模型的基础上进行多目标优化,得到Pareto解集,并选取目标方案进行静强度和疲劳强度验证。结果表明:该方法能够获得轻量化设计参数值,优化后的矿车货箱满足二工况下的强度要求,质量降低7.47%。

Abstract:

To improve the fuel economy of engineering transportation vehicles and reduce the mining costs of coal enterprises, taking the mining truck cargo box as the research object, a comprehensive lightweight design method for two working conditions is proposed. Firstly, the finite element model of the cargo box is established, and the strength performance of the cargo box under two typical working conditions, the state of running at a uniform speed with a full load and unloading are analyzed. Then, a parameterized model is established under two typical working conditions, and five design variables are defined. The sample points are selected by using the optimal Latin hypercube sampling and the corresponding response values are obtained in the established two-condition comprehensive analysis model. By comparing and verifying different approximate models, the radial basis function (RBF) approximate model is selected to establish the relationship between variables and responses. Based on the approximate model, NSGA-II algorithm is used for multi-objective optimization to obtain different optimal design schemes. The target scheme is selected for static strength and fatigue strength verification. The results show that the optimal design parameter values can be obtained by using this method and the optimized cargo box of the mine car can meet the requirements of strength under two different working conditions, as well as the weight is reduced by 7.47%.