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

Abstract

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

References

1. Knecht Walter. "Diesel engine development in view of reduced emission standards”. Energy 2 (2008): 264-271.
2. Monyem Abdul and Jon H Van Gerpen. "The effect of biodiesel oxidation on engine performance and emissions”. Biomass and Bioenergy4 (2001): 317-325.
3. Lupše Janez., et al. "Modelling soot deposition and monolith regeneration for optimal design of automotive DPFs”. Chemical Engineering Science 151 (2016): 36-50.
4. Myung C L and Simsoo Park. "Exhaust nanoparticle emissions from internal combustion engines: A review”. International Journal of Automotive Technology1 (2012): 9-22.
5. Mohr Martin., et al. "ACEA Programme on the Emissions of Fine Particulates from Passenger Cars (2) Part 2: Effect of Sampling Conditions and Fuel Sulphur Content on the Particle Emission”. No. 2003-01-1890. SAE Technical Paper, (2003).
6. Zervas Efthimios., et al. "Repeatability of fine particle measurement of diesel and gasoline vehicles exhaust gas”. No. 2004-01-1983. SAE Technical Paper, (2004).
7. Mohr Martin., et al. "Particle emissions from diesel passenger cars equipped with a particle trap in comparison to other technologies”. Environmental Science and Technology7 (2006): 2375-2383.
8. Yang Juan., et al. "Single wall diesel particulate filter (DPF) filtration efficiency studies using laboratory generated particles”. Chemical Engineering Science8 (2009): 1625-1634.
9. Nam E K., et al. "Methane emissions from vehicles”. Environmental Science and Technology7 (2004): 2005-2010.
10. Miguel Antonio H., et al. "On-road emissions of particulate polycyclic aromatic hydrocarbons and black carbon from gasoline and diesel vehicles”. Environmental Science and Technology4 (1998): 450- 455.
11. Bikas George and Efthimios Zervas. "Regulated and non-regulated pollutants emitted during the regeneration of a diesel particulate filter”. Energy and Fuels3 (2007): 1543-1547.
12. Twigg Martyn V. "Roles of catalytic oxidation in control of vehicle exhaust emissions”. Catalysis Today4 (2006): 407-418.
13. Setiabudi Agus., et al. "The role of NO 2 and O 2 in the accelerated combustion of soot in diesel exhaust gases”. Applied Catalysis B: Environmental3 (2004): 185-194.
14. Pattas K., et al. “Effect of DPF on particulate size distribution using an electrical low pressure impactor”. No. 980544. SAE Technical Paper (1998).
15. Khair Magdi., et al. "Achieving Heavy-Duty Diesel NOx/PM Levels Below the EPA 2002 Standards--An Integrated Solution”. No. 2000-01-0187. SAE Technical Paper (2000).
16. Ebrahimnataj M R., et al. "Numerical and experimental study on the gaseous emission and back pressure during regeneration of diesel particulate filters”. Transportation Research Part D: Transport and Environment 62 (2018): 11-26.
17. Ebrahimnataj M R., et al. "The effect of soot accumulation and backpressure of an integrated after-treatment system on diesel engine performance”. Journal of Thermal Analysis and Calorimetry (2021): 1-9.
18. Konstandopoulos Athanasios G and Margaritis Kostoglou. "Periodically reversed flow regeneration of diesel particulate traps”. SAE Transactions4 (1999): 289-302.
19. Tang Weiyong., et al. "A Lumped/1-D Combined Approach for ModelingWall-Flow Diesel Particulate Filters-Applicable to Integrated Engine/Aftertreatment Simulations”. No. 2007-01-3971. SAE Technical Paper (2007).
20. Mohammed Hasan., et al. "An advanced 1D 2-layer catalyzed diesel particulate filter model to simulate: filtration by the wall and particulate cake, oxidation in the wall and particulate cake by NO2 and O2, and regeneration by heat addition”. No. 2006-01-0467. SAE Technical Paper (2006).
21. Peters Bernhard J., et al. “Integrated 1D to 3D simulation workflow of exhaust aftertreatment devices”. No. 2004-01-1132. SAE Technical Paper (2004).
22. Wurzenberger Johann Christian., et al. "1D/3D Simulation Workflow-Optimization of Exhaust Gas Aftertreatment Devices”. ATZ-Worldwide7-8 (2004): 27-44.
23. Doozandegan Mahdi., et al. "Solid nanoparticle and gaseous emissions of a diesel engine with a diesel particulate filter and use of a high-sulphur diesel fuel and a medium-sulphur diesel fuel”. Proceedings of the Institution of Mechanical Engineers, Part D Journal of Automobile Engineering (2017): 0954407017701283.
24. Premchand Kiran C., et al. "A Modeling Study of the Exhaust Flow Rate and Temperature Effects on the Particulate Matter Thermal Oxidation Occurring during the Active Regeneration of a Diesel Particulate Filter”. No. 2015-01-1044. SAE Technical Paper, (2015).
25. Rothe, Dieter., et al. "Emissions during active regeneration of a diesel particulate filter on a heavy duty diesel engine: Stationary tests”. Journal of Aerosol Science 90 (2015): 14-25.
26. Premchand Kiran C., et al. "Development of a 1-D CPF model to simulate active regeneration of a diesel particulate filter”. No. 2009-01-1283. SAE Technical Paper (2009).
27. Chilumukuru Krishna Pradeep., et al. "An experimental study of particulate thermal oxidation in a catalyzed filter during active regeneration”. No. 2009-01-1474. SAE Technical Paper (2009).
28. Allam, Sabry, and Mats Åbom. "Acoustic modelling and testing of diesel particulate filters”. Journal of Sound and Vibration1 (2005): 255-273.
29. Kladopoulou Evdoxia A., et al. “A study describing the performance of diesel particulate filters during loading and regeneration-A lumped parameter model for control applications”. No. 2003-01-0842. SAE Technical Paper (2003).
30. Zhang Zhaoyan., et al. "Modeling and numerical simulation of diesel particulate trap performance during loading and regeneration”. No. 2002-01-1019. SAE Technical Paper (2002).
31. Masoudi Mansour. “Pressure drop of segmented diesel particulate filters”. No. 2005-01-0971. SAE Technical Paper, (2005).
32. Konstandopoulos Athanasios G. “Flow resistance descriptors for diesel particulate filters: definitions, measurements and testing”. No. 2003-01-0846. SAE Technical Paper (2003).

Citation

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

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.