Multi-Objective Optimization of Capture Performance of DPF Based on Response Surface Method

HUANG Fenlian; LI Lingling; XIA Dashuang; SHE Chaojie; WAN Mingding; BI Yuhua

Vehicle Engine ›› 2023, Vol. 0 ›› Issue (2) : 25-34.

HUANG Fenlian,LI Lingling,XIA Dashuang,SHE Chaojie,WAN Mingding,BI Yuhua

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Abstract

The multi-objective optimization design for the structural parameters of diesel particulate filter(DPF) was carried out to improve the overall capture performance. A DPF trap model was first developed with GT-Power software and was verified by the bench test. The maximum pressure drop and initial filtration efficiency were taken as the target of optimization. The structural parameters such as porosity, pore diameter, wall thickness, filter body length and diameter were used as the variables of optimization. Then a second-order response surface model of DPF capture performance was constructed based on the Box-Behnken experimental design method. The significance and interaction of structural parameters were further analyzed by three-dimensional response surface curves. The multi-objective parameter optimization was finally carried out using the satisfaction function method. The results show that the pore diameter has the less effect on the maximum pressure drop, and the smaller porosity and wall thickness and the larger filter body diameter are beneficial to reduce the maximum pressure drop of DPF. However, appropriately increasing the filter body diameter and wall thickness can improve the initial trapping efficiency of DPF. The pressure drop of DPF decreases by 51.34% and the initial filtration efficiency tends to be close to 100% after optimization.

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diesel engine / diesel particulate filter / capture performance / structural parameter / optimization

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HUANG Fenlian,LI Lingling,XIA Dashuang,SHE Chaojie,WAN Mingding,BI Yuhua. Multi-Objective Optimization of Capture Performance of DPF Based on Response Surface Method[J]. Vehicle Engine. 2023, 0(2): 25-34