基于正交试验设计的载体结构对DPF工作特性的影响研究
Study on the Influence of Carrier Structure on DPF Perfor-mance Characteristics Based on orthogonal experimental design
关键词:柴油机微粒捕集器  正交试验设计  多项式逼近算法  压降  捕集效率
Key Words:Diesel particulate filter  Orthogonal experimental design  Polynomial approximation algorithm  Pressure drop  Capture efficiency
基金项目:云南省教育厅科学研究基金项目资助(2024Y605)；云南省高层次人才项目资助(YNWR-QNBJ-2018-066,YNQR-CYRC-2019-001)
作者单位邮编
包广元 西南林业大学机械与交通学院 650224
何超* 西南林业大学机械与交通学院 650224
李加强 西南林业大学机械与交通学院 
肖应学 西南林业大学机械与交通学院 
字天曦 西南林业大学机械与交通学院 
黄立闩 西南林业大学机械与交通学院 
摘要:为降低柴油机颗粒捕集器（diesel particulate filter，DPF）的压降并提高捕集效率，建立了 DPF 压降与捕集效率的数学模型，基于试验设计和多项式逼近算法，系统地研究了载体孔密度、壁厚及载体配比对 DPF 性能的影响。结果表明：载体配比和壁厚对压降与捕集效率影响效果显著，当载体配比和壁厚分别处于(1.40,1.53)和（0.249, 0.267）区间时，DPF 压降处于较低水平，而捕集效率相对较高，在载体配比为 1.52，壁厚为 0.264mm 时，压降达到最小值为 4.2kPa，捕集效率为 90.28%。通过多项式逼近算法得到了压降模型和捕集效率模型的显示表达式:压降模型 Y=51.19+3.815x1-8.726x2+3.794x1^2-1.735x1x2+0.524x2^2;捕集效率模型 Y=0.383+0.105x1+0.085x2+0.032x1^2-0.016x1x2-0.0032x2^2。DPF 压降和捕集效率模型具有良好的预测精度和拟合度，压降和捕集效率的均方根误差分别为 0.0110、0.0002，压降和捕集效率拟合优度分别为 0.9996、0.9985。
Abstract:A mathematical model for diesel particulate filter (DPF) pressure drop and capture efficiency was developed in order to lower the pressure drop and improve the capture efficiency of DPF. The impacts of wall thickness, carrier ratio, and cell density on DPF performance were methodically examined using an experimental methodology and polynomial approximation algorithm. The findings show that pressure drop and capture efficiency are highly influenced by carrier ratio and wall thickness. The DPF pressure drop is relatively low and the capture efficiency is relatively good when the carrier ratio and wall thickness are within the ranges of (1.40, 1.53) and (0.249, 0.267), respectively. At a carrier ratio of 1.52 and a wall thickness of 0.264, the pressure drop reaches a minimum of 4.23 kPa, with a capture efficiency of 90.28%. The polynomial approximation algorithm yielded explicit expressions for the pressure drop model and capture efficiency model: Pressure drop model Y=51.19+3.815x1-8.726x2+3.794x1^2-1.735x1x2+0.524x2^2; Capture efficiency model Y=0.383+0.105x1+0.085x2+0.032x1^2-0.016x1x2-0.0032x2^2. With coefficients of determination of 0.9996 and 0.9985, respectively, and root mean square errors of 0.0110 and 0.0002, respectively, the DPF pressure drop and capture efficiency models show good predictive accuracy and fit.
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