An experimental-computational study of DPF soot capture and heat regeneration

ABSTRACT A diesel particulate filter (DPF) can effectively reduce the exhaust emissions of particulate matter (PM) and meet emission regulations. We report herein an experimental-numerical study to investigate the soot capture and regeneration behavior in a commonly used DPF. Simulations are performed using the AVL FIRE software that considers a fairly detailed DPF model. The model is validated using measured pressure drop history during soot capture, and temperature history during regeneration from a parallel experimental study using a diesel engine equipped with a DPF. Then, a detailed numerical study is performed to examine the soot capture and heat regeneration processes, and characterize the effects of various parameters on these processes and on DPF performance. Results indicate that the pressure drop during soot loading can be reduced by increasing the CPSI (channels per square inch), minimizing the amount of residual soot in each regeneration cycle, and using moderate gas flow rates. The DPF regeneration performance is characterized in terms of the rates of temperature rise and soot oxidation. Results indicate that these rates are enhanced, as the oxygen content in the exhaust stream is increased to about 12%, the rate of thermal heating is moderately increased, and as the exhaust gas flow rate is increased. Thus, the regeneration efficiency can be significantly improving by optimizing these parameters.

[1]  C. Pianese,et al.  Experimental Test on the Feasibility of Passive Regeneration in a Catalytic DPF at the Exhaust of a Light-Duty Diesel Engine , 2019, SAE Technical Paper Series.

[2]  Nick A. Eaves,et al.  Modelling particle mass and particle number emissions during the active regeneration of diesel particulate filters , 2019 .

[3]  Ivan Arsie,et al.  Experimental Testing of a Low Temperature Regenerating Catalytic DPF at the Exhaust of a Light-Duty Diesel Engine , 2018 .

[4]  C. Myung,et al.  Effect of active regeneration on time-resolved characteristics of gaseous emissions and size-resolved particle emissions from light-duty diesel engine , 2016 .

[5]  Liang Xiao-hu Influence Factors of DPF Thermal Regeneration Process , 2014 .

[6]  Margaritis Kostoglou,et al.  Frictional and heat transfer characteristics of flow in square porous tubes of wall-flow monoliths , 2012 .

[7]  Souzana Lorentzou,et al.  Aspects of multifunctional diesel particulate filters and their efficient simulation , 2012 .

[8]  C. Beatrice,et al.  Detailed characterization of particulate emissions of an automotive catalyzed DPF using actual regeneration strategies , 2012 .

[9]  朱锡锋,et al.  Numerical simulation of bio-oil combustion and pollutant emissions , 2010, CSB 2010.

[10]  A. Heibel,et al.  Measurement and prediction of filtration efficiency evolution of soot loaded diesel particulate filters , 2010 .

[11]  Yao Qiang Influence of Incoming Flow Conditions on DPF Thermal Regeneration , 2010 .

[12]  Li Yun-qing Study of the Continuously Regenerating Rate and the Pressure Drop Characteristics in Diesel Particulate Filter , 2009 .

[13]  Yuan Wen-hua One-Dimensional Numerical Simulation for the Thermal Regeneration of Vehicle Diesel Particulate Filter , 2005 .

[14]  B. Cooper,et al.  Optimising the Low Temperature Performance and Regeneration Efficiency of the Continuously Regenerat , 2002 .

[15]  Edward J. Bissett,et al.  Mathematical model of the thermal regeneration of a wall-flow monolith diesel particulate filter , 1984 .