Current issue
Online first
Archive
About the Journal
Aims and scope
Publisher and Editorial
Advertising policy
For Authors
Paper review procedures
Procedures protecting authentic authorship of papers
Paper preparation manual
Plagiarism check
Publication ethics
Reviewers
APC
Editorial and Scientific Board
Contact
Reviewers
Experimental research and CFD analysis of flow parameters in a SCR system for the original part and WALKER’s replacement
1
Faculty of Power and
Environmental Engineering, Silesian University of
Technology and Senior Engineer at Tenneco Automotive
Polska Sp. z o.o., Rybnik.
2
Faculty of Power
and Environmental Engineering, Silesian University
of Technology, Gliwice, Poland.
Publication date: 2019-10-01
Combustion Engines 2019,179(4), 13-20
KEYWORDS
selective catalytic reductionComputational Fluid Dynamicstatic mixeruniformity indexcoefficient of variation
ABSTRACT
The article presents the results of experimental research and their comparison with CFD simulations for the original selective catalytic reduction system and WALKER replacement. The research was performed to develop the WALKER universal mixer. The SCR prototype without mixer and with the proposed mixer were tested and compared with the original VW part. The next step was reverse engineering, which consisted in scanning the tested parts with a laser and processing their point cloud in Leios2 program. Reverse engineering has allowed the reconstruction of 3D geometry of the tested parts in the Catia v5 program and then preparation their models for computational fluid dynamics. Numerical simulations were carried out in the Ansys Fluent program, thanks to which several quantities were determined e.g. uniformity index of gas flow through the monolith and coefficient of variation as a measure of mixing degree, which have a significant impact on the design of the mixer and the SCR system.
REFERENCES (15)
1.
BALOGH, R.M., IONEL, I., STEPAN, D. et al. NOx reduction using selective catalytic reduction system-α variation test. Termotehnica. 2011, 38-42.
2.
BRZEŻAŃSKI, M. Diesel engines with respect to Euro 6 and BIN5/LEV II emission limits. Journal of KONES. Powertain and Transport. 2011, 18(4), 33-40.
3.
BRZEŻAŃSKI, M., SALA, R. In-service problems of selective catalytic reduction systems for reduction of nitrogen oxides. Comb. Eng. 2013, 154(3), 969-976.
4.
FLOYD, R., MICHAEL, L., SHAIKH, Z. DEF systems and aftertreatment architecture considerations. In Urea-SCR Technology for deNOx After Treatment of Diesel Exhaust, edited by NOVA, I., TRONCONI, E. Springer, 2014, 455-483. DOI: 10.1007/978-1-4899-8071-7_15.
5.
GEHRLEIN, J., LANG A., PALEMR G. Optimierung von SCR-Systemen durch Integration von Mischelment. Motortech. Z., 2009, 70, 218-223.
6.
HOOFMAN, N., MESSAGIE, M., VAN MIERLO, J. et al. A review of the European passenger car regulations – real driving emissions vs local air qua-lity. Renewable and Sustainable Energy Reviews. 2018, 86, 1-21. DOI: 10.1016/j.rser.2018.01.012.
7.
KRÖCHER, O. Chapter 9. Aspects of catalyst development for mobile urea-SCR systems – from vanadia-titania catalysts to metal-exchanged zeolites. Studies in Surface Science and Catalysis. 2007, 171, 261-289. DOI: 10.1016/S0167-2991(07)80210-2.
8.
KURZYDYM, D., KLIMANEK, A., ŻMUDKA, Z. Experimental and numerical analysis of flow through catalytic converters for original part and WALKER’s replacement using reverse engineering and CFD. Int. Automotive Conf. (KONMOT 2018), IOP Conf. Series: Mat. Sci. and Eng. 2018, 421. DOI: 10.1088/1757-899X/421/4/042044.
9.
LAUER, T. Preparation of ammonia from liquid AdBlue – modeling approaches and future challenges. Chemie Ingenieur Technik. 2018, 90(6), 783-794. DOI: 10.1002/cite.201700107.
10.
MERKISZ, J., PIELECHA, J. Selected remarks about RDE test. Combustion Engines. 2016, 166(3), 54-61. DOI: 10.19206/CE-2016-340.
11.
SALA, R., KRASOWSKI, J., DZIDA, J., WOODBURN, J. Experimental of selective catalytic reduction retrofit for Euro 6 NOx emission level compliance for euro 5 light duty vehicle. Int. Automotive Conf. (KONMOT 2018), IOP Conf. Series: Mat. Sci. and Eng. 2018, 421. DOI: 10.1088/1757-899X/421/4/042070.
12.
SHAHARIAR, G.H., LIM, O.T. A study on urea-water solution spray-wall impingement process and solid deposit formation in urea-SCR de-NOx system. Energies. 2019, 12(1). DOI: 10.3390/en12010125.
13.
TAN, L., FENG, P., YANG,S. et al. CFD studies on effects of SCR mixers on the performance of urea conversion and mixing of the reducing agent. Chem. Eng. & Process: Process Intensification. 2018, 123, 82-88. DOI: 10.1016/j.cep.2017.11.003.
14.
TIAN, X., XIAO, Y., ZHOU, P. et al. Study on the mixing performance of static mixers in selective catalytic reduction (SCR) systems. Journal of Marine Eng. & Technology. 2015, 14(2), 57-60. DOI: 10.1080/20464177.2015.1096615.
15.
ZHENG, G., PALMER, G., SALANTA, G., KOTRBA, A. Mixer development for urea SCR applications. SAE Technical Paper. 2009. DOI: 10.4271/2009-01-2879.
CITATIONS (4):
1.
Experimental and numerical investigation of nitrogen oxides reduction in diesel engine selective catalytic reduction system
Damian Kurzydym, Zbigniew Żmudka, Diego Perrone, Adam Klimanek
Fuel
Damian Kurzydym, Zbigniew Żmudka, Diego Perrone, Adam Klimanek
Fuel
2.
Ammonia CI engine aftertreatment systems design and flow simulation
Kacper Kuta, Ebrahim Nadimi, Grzegorz Przybyła, Zbigniew Żmudka, Wojciech Adamczyk
Combustion Engines
Kacper Kuta, Ebrahim Nadimi, Grzegorz Przybyła, Zbigniew Żmudka, Wojciech Adamczyk
Combustion Engines
3.
Numerical Simulations in SCR systems with Emphasis on Uniform Flow at the Catalyst Inlet
Martin Novák, Richard Matas, M. Pelikan, M. Volf, M. Vackova
MATEC Web of Conferences
Martin Novák, Richard Matas, M. Pelikan, M. Volf, M. Vackova
MATEC Web of Conferences
4.
Overview of mechanisms of Fe-based catalysts for the selective catalytic reduction of NOx with NH3 at low temperature
Jianbin Luo, Song Xu, Hongxiang Xu, Zhiqing Zhang, Xiaofeng Chen, Mingsen Li, Yuanhao Tie, Haiguo Zhang, Guiguang Chen, Chunmei Jiang
Environmental Science and Pollution Research
Jianbin Luo, Song Xu, Hongxiang Xu, Zhiqing Zhang, Xiaofeng Chen, Mingsen Li, Yuanhao Tie, Haiguo Zhang, Guiguang Chen, Chunmei Jiang
Environmental Science and Pollution Research
Share
RELATED ARTICLE
| eISSN: | 2658-1442 |
| ISSN: | 2300-9896 |
The scientific journal is financed under the Agreement 185/WCN/2019/1 from the funds of the Minister of Science and Higher Education
© 2006-2024 Journal hosting platform by Bentus
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
