Acta Scientific Applied Physics (ASAP)

Research Article Volume 2 Issue 6

Experimental and Numerical Study on the CCDPF’s Backpressure Calibration Parameters During Clean Filter and Loading Phase

Mohammadreza Ebrahimnataj Tiji*

Department of Mechanical Engineering, Qom University of Technology, Qom, Iran

*Corresponding Author: Mohammadreza Ebrahimnataj Tiji, Department of Mechanical Engineering, Qom University of Technology, Qom, Iran.

Received: April 12, 2022; Published: May 26, 2022


In this study, the performance of a CCDPF is experimentally investigated. It is found that the filtration efficiency remained high enough during active regeneration and CCDPF is able to remove the particulate matter. Also, one dimensional approach has been implemented to model the backpressure of an active regeneration of a CCDPF. Therefore, the effect of some parameters such as: Expansion/Contraction coefficient, particulate packing inside the wall, percolation constant and soot cake layer porosity on the backpressure calibration behavior is investigated during clean filter and loading phase. In fact, the aim of this study is to provide the catalysts designers with valuable data required for properly calibrating the backpressure behavior of a CCDPF. According to results, Exp/Con coefficient is the primary influencing parameter toward clean filter backpressure calibration. This parameter is reported to shifts up/down the backpressure curve at the very initial moment of the experiments. Also, percolation constant and soot cake porosity have shown to have significant effects on the slope of backpressure curve in the surface type filtration regime. However, the particulate packed density affects the slope of deep bed filtration regime during loading phase.

Keywords: DPF; HCI; Active Regeneration; NO-assisted; Soot Porosity; Soot Emissions


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Citation: Mohammadreza Ebrahimnataj Tiji. “Experimental and Numerical Study on the CCDPF’s Backpressure Calibration Parameters During Clean Filter and Loading Phase". Acta Scientific Applied Physics 2.6 (2022): 03-11.


Copyright: © 2022 Mohammadreza Ebrahimnataj Tiji. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Acceptance rate32%
Acceptance to publication20-30 days
Impact Factor1.014

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