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提出一种柴油机选择催化还原(SCR)催化器载体结构参数优化的设计方法,根据车用柴油机排量,将SCR催化器载体分为4类,选取载体体积、长度、目数、壁厚和涂层厚5个结构参数为设计变量,以高NOx转化率及低压力损失为优化目标,利用拉丁超立方实验设计选择样本点进行数值模拟,在构建的Kriging近似模型基础上,对载体结构参数采用改进的非支配排序遗传算法NSGA-II(non-dominated sorting genetic algorithm-Ⅱ)进行优化设计。结果表明:Kriging近似模型的拟合精度较高,结合NSGA-II算法对SCR催化器载体结构参数进行优化是可行的、有效的,不同排量下的优化结果均能够较好地满足设计要求。
A design method for optimizing the structural parameters of a diesel engine SCR catalyst carrier is proposed. According to the displacement of a diesel engine, the SCR catalyst carriers are divided into four categories. The carrier volume, length, mesh number, wall thickness and coating The five structural parameters of the layer thickness are design variables, with high NOx conversion rate and low pressure loss as the optimization objective. The Latin hypercube design is used to select the sample points for numerical simulation. Based on the constructed Kriging approximation model, An improved non-dominated sorting genetic algorithm (NSGA-II) is used to optimize the design. The results show that the fitting accuracy of Kriging approximation model is high. It is feasible to optimize the structure parameters of SCR catalyst with NSGA-II algorithm. The results of the optimization and optimization of the SCR catalyst can meet the design requirements well.