Dr. Junsu Shin
Gebäude 33/400, Zimmer 3457 | |
+49 89 6004-2125 | |
junsu.shin@unibw.de |
Dr. Junsu Shin
Field of work:
Data-driven Turbulent Combustion Modeling using High-fidelity DNS data
Contents:
- Employed high-fidelity combustion DNS data as learning data
- Constructed customized neural network for the use of turbulent combustion database
- Derived data-driven turbulent combustion modeling inspired by deep learning methods
- Implemented inference engine into OpenFOAM
- Interpreted trained deep learning network using model-agnostic interpretation methods
Peer-reviewed publications:
- Junsu Shin and Hong-Gye Sung, “Zonal Hybrid Reynolds-Averaged Navier–Stokes/Large-Eddy Simu-lation of a Hydrogen-Fueled Scramjet Combustor,” AIAA Journal, Vol. 56, No. 6, pp. 2322-2335, 2018.
https://doi.org/10.2514/1.J056707
- Junsu Shin and Hong-Gye Sung, “Combustion Characteristics of Hydrogen and Cracked Kerosene in a DLR Scramjet Combustor Using Hybrid RANS/LES Method,” Aerospace Science and Technology, Vol.80, pp. 433-444, 2018.
https://doi.org/10.1016/j.ast.2018.03.006
- Junsu Shin and Hong-Gye Sung, “Comparison of Hybrid RANS/LES Methods for Supersonic Combus-tion in a Model Scramjet Combustor,”Progress in Hybrid RANS-LES Modelling, Notes on NumericalFluid Mechanics and Multidisciplinary Design, Vol. 137, 2018.
https://doi.org/10.1007/978-3-319-70031-119
- Juyong Lee, Junsu Shin and Hong-Gye Sung, "Assessment of Turbulence Models with Compressibility Correction for Large Flow Separation in a Supersonic Convergent-Divergent Rectangular Nozzle," Journal of Aerospace System Engineering, Vol. 12, No. 5, pp. 40-47, 2018.
https://doi.org/10.20910/JASE.2018.12.5.40
- Junsu Shin and Hong-Gye Sung, “Numerical Investigation of Scramjet Combustor Using DDES,” International Journal of Turbo & Jet-Engines, Vol. 34, No. 1, pp. 75-80, 2017.
https://doi.org/10.1515/tjj-2015-0056
- Doo-Hee Han, Junsu Shin and Hong-Gye Sung, “A detailed flame structure and burning velocity analysis of aluminum dust cloud combustion using the Eulerian–Lagrangian method,” Proceedings of the Combustion Institute, Vol. 36, pp. 2299–2307, 2017.
https://doi.org/10.1016/j.proci.2016.06.189
- Doo-Hee Han, Min-Kyoung Jo, Junsu Shin, Hong-Gye Sung and Su-Kyum Kim, ”Numerical Analysison Plasma Particles inside Electro-magnetic Field Using Particle-in-cell Method”, Journal of the Korean Society for Aeronautical & Space Sciences, Vol. 45, pp. 932-938, 2017.
https://10.5139/JKSAS.2017.45.11.932
- Doo-Hee Han, Junsu Shin, Jeong-Seok Kang, Jung-Shin Park, Sun-Sang Park, Jae-Su Kwak and Hong-Gye Sung, “Numerical and experimental studies on the mixing characteristics of two jets with inclined angles in a rectangular chamber,” Journal of Mechanical Science and Technology, Vol. 28, No. 10, pp.4083-4090, October 2014.
https://doi.org/10.1007/s12206-014-0921-9
Educations:
- March 2013 - August 2018: Korea Aerospace University
PhD in Aerospace and Mechanical Engineering
Thesis title: Nonpremixed Turbulent Combustion in a Scramjet Combustor Using Zonal Hybrid RANS/LES Method
- March 2011 - February 2013: Korea Aerospace University
ME in Aerospace and Mechanical Engineering
Thesis title: Numerical Modeling of Aluminum Combustion in High Speed Air Flow Stream
- March 2003 - February 2011: Korea Aerospace University
BS in Aerospace and Mechanical Engineering