Study on the Influence of Carrier Structure on DPF Perfor-mance Characteristics Based on orthogonal experimental design
DOI:10.13949/j.cnki.nrjgc.2024.03.001
Key Words:Diesel particulate filter  Orthogonal experimental design  Polynomial approximation algorithm  Pressure drop  Capture efficiency
Author NameAffiliationPostcode
BAO Guangyuan School of Mechanics and Transportation,Southwest Forestry University 650224
HE Chao School of Mechanics and Transportation,Southwest Forestry University 650224
LI Jiaqiang School of Mechanics and Transportation,Southwest Forestry University 
XIAOYingxue School of Mechanics and Transportation,Southwest Forestry University 
ZI Tianxi School of Mechanics and Transportation,Southwest Forestry University 
HUANG Li shuan School of Mechanics and Transportation,Southwest Forestry University 
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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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