Abstract
In this study, a comparison of five commonly used turbulence models was conducted in predictions of supersonic flows in a two-dimensional shock vector control nozzle. The result indicated that shear stress transport k−ω turbulence model performed best, and hence it was employed to carry out a parametric study on the shock wave vector control performance. The effects of slot interval distance, slot width, and injection angle on the deflection angle, thrust coefficient, and thrust efficiency were analyzed. All these performance parameters of a dual injection port nozzle can be better than those of a single injection port nozzle as long as the slot interval distance and width are appropriately selected. Under some investigated conditions, there exist an optimal slot interval distance and slot width both for the deflection angle and thrust efficiency, respectively.
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08 July 2022
An Erratum to this paper has been published: https://doi.org/10.1007/s12206-022-0652-3
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Acknowledgments
The authors are grateful to the financial support from the Natural Science Foundation of Zhejiang Province [grant no. LY17E060006], from the Fundamental Research Funds of Zhejiang Sci-Tech University [grant no. 2019Q030], and from the National Natural Science Foundation of China [grant no. 51876194, 52176048, U1909216].
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Li-Te Zhang received his Ph.D. from Xi’an Jiaotong University, China, in 2007. Now he is an Associate Professor in Mechanical Engineering of Zhejiang Sci-Tech University, China. He is interested in the areas of dense particle-laden compressible gas flow, shock wave, and so on.
Hao-Zhe Jin received his Ph.D. from Zhejiang Sci-Tech University, China, in 2012. Now he is an Associate Professor in Mechanical Engineering of Zhejiang Sci-Tech University, China. He is interested in the areas of the multi-component fluid flow characteristics, gas-solid wear mechanism, and so on.
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Zhang, L., Su, M., Feng, Z. et al. Numerical study on the shock vector control performance in a de Laval nozzle with single or dual injection ports. J Mech Sci Technol 36, 3001–3016 (2022). https://doi.org/10.1007/s12206-022-0532-9
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DOI: https://doi.org/10.1007/s12206-022-0532-9