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Numerical and Experimental Study of a Tornado Mixer

Yibao Wang, Dongsheng Wang, Yudan Xue, Dailong Shi*, Xiaoli Zhang, Yang Chai, Bang An

Center of Research and Department, WEICHAI Power Co., Ltd., Weifang, 261061, China

* Corresponding Author: Dailong Shi. Email: email

(This article belongs to the Special Issue: Advances in Fluid Flow, Heat and Thermal Sciences)

Fluid Dynamics & Materials Processing 2021, 17(6), 1113-1127.


A new design of a selective catalytic reduction (SCR) mixer called tornado was developed for a heavy-duty diesel engine to solve the urea deposition problem. A combination of CFD simulation and experimental studies was used to comprehensively evaluate the performance of the tornado mixer. According to the numerical simulations, this mixer can improve the front surface flow uniformity of the SCR carrier by 6.67% and the NH3 distribution uniformity by 3.19% compared to a traditional mixer. Similarly, steady state SCR conversion efficiency test results have shown that the tornado mixer can increase the average SCR conversion efficiency by 1.73% compared to a traditional mixer. Therefore, the tornado mixer outperforms traditional mixers in terms of mixing uniformity, resistance to deposition and impact on NOX emissions. In addition, a dimensionless parameter, the “limiting deviation rate”, is proposed in the present study to improve the mixing uniformity assessment method for SCR mixers (with the explicit intent to evaluate the mixing uniformity more accurately).


Cite This Article

APA Style
Wang, Y., Wang, D., Xue, Y., Shi, D., Zhang, X. et al. (2021). Numerical and experimental study of a tornado mixer. Fluid Dynamics & Materials Processing, 17(6), 1113-1127.
Vancouver Style
Wang Y, Wang D, Xue Y, Shi D, Zhang X, Chai Y, et al. Numerical and experimental study of a tornado mixer. Fluid Dyn Mater Proc. 2021;17(6):1113-1127
IEEE Style
Y. Wang et al., "Numerical and Experimental Study of a Tornado Mixer," Fluid Dyn. Mater. Proc., vol. 17, no. 6, pp. 1113-1127. 2021.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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