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A numerical investigation of the diesel particle filter regeneration process under temperature pulse conditions

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Abstract

A one-dimensional transient diesel particle filter (DPF) model is applied to study DPF regeneration performance. Numerical simulations are performed to predict the effects of various factors influencing regeneration performance under temperature pulse conditions, and the regeneration performances of three typical DPFs are compared and analyzed. Numerical results indicate that the thermal conductivity characteristics of DPF configurations can greatly affect soot oxidation, which in turn influences the regeneration process. The transition points of the regeneration flow rate indicate a balance between its promotion of the regeneration process and retardation owing to cooling effects. The sensitive ranges of soot loading, oxygen concentration, and inlet temperature are observed to provide a reference for controlling DPF regeneration. The multi-step exhaust condition is employed to control DPF regeneration. It was found that a transient increase in the flow rate is more effective at reducing the peak temperature and peak temperature gradient than a transient decrease of oxygen concentration.

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Abbreviations

\(a\) :

Channel width (mm)

\(C_{\text{p}}\) :

Specific heat [J/(kg K)]

D :

Filter diameter (mm)

\(E\) :

Activation energy (kJ/mol)

\(F\) :

Friction factor in channels (28.454)

\(h\) :

Heat transfer coefficient [W/(m2 K)]

\(\Delta H\) :

Reaction enthalpy of soot oxidation (J/mol)

\(k\) :

Collision frequency factor [1.0 m/(s K)]

\(K\) :

Filtration permeability (m2)

L :

Filter length (mm)

\(M_{{{\text{O}}_{ 2} }}\) :

Molecular weight of oxygen (kg/mol)

\(M_{\text{C}}\) :

Molecular weight of carbon (kg/mol)

\(p\) :

Gas pressure (Pa)

Q react :

The reaction heat from soot oxidation (W/m2)

\(R\) :

Universal gas constant [J/(mol K)]

\(S_{\text{p}}\) :

Specific area of soot deposit layer (m−1)

\(t\) :

Regeneration time (s)

\(w\) :

Substrate wall thickness (mm)

x :

Axial position in channel (mm)

\(Y_{{{\text{O}}_{ 2} }}\) :

Oxygen concentration (mole fraction, mol/mol)

\(v\) :

Axial gas velocity in channel (m/s)

\(\rho\) :

Bulk density (kg/m3)

\(\delta\) :

Soot layer thickness (mm)

\(\mu\) :

Gas dynamic viscosity (Pa s)

\(\lambda\) :

Thermal conductivity [W/(m K)]

1:

Inlet channel

2:

Outlet channel

g:

Gas phase

p:

Soot layer

w:

Substrate

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Acknowledgments

This work was supported by (1) The National Natural Science Foundation of China (51676167); (2) The Chunhui Plan of the Ministry of Education of China (Z2014058); (3) The industry cluster project for electronic engine control systems and after treatment systems of Chengdu, China ([2013]265). (4) Research Project of Key Laboratory of Fluid and Power Machinery (Xihua University), Ministry of Education (SZJJ2016-005); (5) Science and Technology Department of Sichuan Province (2015TD0021); (6) The Innovation Foundation of Xihua University (YCJJ2015040, YCJJ2016087).

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Authors and Affiliations

  1. Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, Sichuan Collaborative Innovation Center for Automotive Key Components, School of Automobile and Transportation Engineering, Xihua University, Chengdu, 610039, People’s Republic of China

    Zhongwei Meng, Jing Zhang, Chao Chen & Yan Yan

  2. Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu, 610039, People’s Republic of China

    Zhongwei Meng & Yan Yan

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  1. Zhongwei Meng
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  2. Jing Zhang
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  3. Chao Chen
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Correspondence to Zhongwei Meng.

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Meng, Z., Zhang, J., Chen, C. et al. A numerical investigation of the diesel particle filter regeneration process under temperature pulse conditions. Heat Mass Transfer 53, 1589–1602 (2017). https://doi.org/10.1007/s00231-016-1924-0

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