Browse > Article
http://dx.doi.org/10.5407/jksv.2020.18.2.051

A study on supersonic jet using Schlieren technique and numerical simulation in low-pressure condition  

Ji, Yun Young (School of Mechanical Engineering, Sungkyunkwan University)
Jang, Dong Kyu (School of Mechanical Engineering, Sungkyunkwan University)
Sohn, Dong Kee (School of Mechanical Engineering, Sungkyunkwan University)
Ko, Han Seo (School of Mechanical Engineering, Sungkyunkwan University)
Publication Information
Journal of the Korean Society of Visualization / v.18, no.2, 2020 , pp. 51-58 More about this Journal
Abstract
Research on shock structures of supersonic jet through visualization experiments in low-pressure environment have not been actively conducted. Therefore, in this study, shock waves and supersonic jets were analyzed and compared by numerical analysis and Schlieren technique at low-pressure. Schlieren technique is commonly used to visualize the shock waves generated by density gradient as interferometric methods. Pressure ratio of entrance and ambient was set around 4 to observe moderate under-expanded jet. For validation of experimental and numerical results, the shock structure and frequency were compared. In the case of ST and C nozzle, the results were shown that the difference of shock cell distance was within 10%. The Mach number gradually decreased due to energy reduction, and the error rate was within 7%. D nozzle was not fitted to be observing the shock structure. Because the interface between rarefaction fan and supersonic jet was ambiguous and oscillating phemenoma occurred at end of jet, the supersonic jet in low ambient pressure was observed and analyzed.
Keywords
Supersonic jet; Shock wave; Schlieren Technique; Computational Fluid Dynamics;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Spazzini, P. G., and Fallerini, L., 2019, "Performance analysis of a microthruster for satellite applications," Measurement, Vol.131, pp.782-786.   DOI
2 Xu, J., and Zhao, C., 2007, "Two-dimensional numerical simulations of shock waves in micro convergent-divergent nozzles," J. Heat and Mass Transfer, Vol. 50(11), pp.2434-2438.   DOI
3 Norman M. L., Winkler K. H. A., 1985, "Supersonic jets," Los Alamos Science, Spring/Summer, pp.39-71.
4 De Giorgi, M. G., and Fontanarosa, D., 2019, "A novel quasi-one-dimensional model for performance estimation of a vaporizing liquid microthruster," Aerospace Science and Technology, Vol. 84, pp.1020-1034.   DOI
5 Niknam, P. H., Mokhtarani, B., and Mortaheb, H. R., 2016, "Prediction of shockwave location in supersonic nozzle separation using self-organizing map classification and artificial neural network modeling," J. Natural Gas Science and Engineering, Vol. 34, pp.917-924.   DOI
6 Park, J. J., Lee, M. W., Yoon, S. S., Kim, H. Y., James, S. C., Heister, S. D., Chandra, S., Yoon, W. H., Park, D. S., and Ryu, J., 2011, "Supersonic nozzle flow simulations for particle coating applications: Effects of shockwaves, nozzle geometry, ambient pressure, and substrate location upon flow characteristics," J. Thermal Spray Technology, Vol. 20(3), pp.514-522.   DOI
7 Yu, J., Vuorinen, V., Kaario, O., Sarjovaara, T., and Larmi, M., 2013, "Visualization and analysis of the characteristics of transitional underexpanded jets," J. Heat and fluid flow, Vol. 44, pp. 140-154.   DOI
8 Zhu, Y., and Jiang, P., 2014, "Experimental and analytical studies on the shock wave length in convergent and convergent-divergent nozzle ejectors," Energy Conversion and Management, Vol. 88, pp.907-914.   DOI
9 Yuceil, K. B., 2017, "A comparison of PIV and interferometric Rayleigh scattering measurements in the near field of underexpanded sonic jets," Aerospace Science and Technology, Vol. 67, pp. 31-40.   DOI
10 Giorgi, M. G. D., Fontanarosa, D., and Ficarella, A., 2018, "Modeling viscous effects on boundary layer of rarefied gas flows inside micronozzles in the slip regime condition," Energy Procedia, Vol. 148, pp.838-845.   DOI
11 Sutton, G. P. and Biblarz, O., 2010, Rocket Propulsion Elements, John Wiley & Sons, New Jersey.
12 Canny, J., 1986, "A Computational approach to edge detection," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 8(6), pp.679-698.   DOI