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柴油机SCR催化器载体结构参数优化

Keywords: 柴油机SCR,催化器载体,结构参数优化,Kriging模型,NSGA-Ⅱ算法

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Abstract:

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-dominatedsortinggeneticalgorithm-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。

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