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Combined Diagnostic Analysis of Dynamic Combustion Characteristics in a Scramjet Engine

Author

Listed:
  • Seung-Min Jeong

    (Department of Aerospace Engineering, Pusan National University, Busan 46241, Korea)

  • Jeong-Yeol Choi

    (Department of Aerospace Engineering, Pusan National University, Busan 46241, Korea)

Abstract

In this work, the dynamic combustion characteristics in a scramjet engine were investigated using three diagnostic data analysis methods: DMD (Dynamic Mode Decomposition), STFT (Short-Time Fourier Transform), and CEMA (Chemical Explosive Mode Analysis). The data for the analyses were obtained through a 2D numerical experiment using a DDES (Delayed Detached Eddy Simulation) turbulence model, the UCSD (University of California at San Diego) hydrogen/oxygen chemical reaction mechanism, and high-resolution schemes. The STFT was able to detect that oscillations above 50 kHz identified as dominant in FFT results were not the dominant frequencies in a channel-type combustor. In the analysis using DMD, it was confirmed that the critical point that induced a complete change of mixing characteristics existed between an injection pressure of 0.75 MPa and 1.0 MPa. A combined diagnostic analysis that included a CEMA was performed to investigate the dynamic combustion characteristics. The differences in the reaction steps forming the flame structure under each combustor condition were identified, and, through this, it was confirmed that the pressure distribution upstream of the combustor dominated the dynamic combustion characteristics of this scramjet engine. From these processes, it was confirmed that the combined analysis method used in this paper is an effective approach to diagnose the combustion characteristics of a supersonic combustor.

Suggested Citation

  • Seung-Min Jeong & Jeong-Yeol Choi, 2020. "Combined Diagnostic Analysis of Dynamic Combustion Characteristics in a Scramjet Engine," Energies, MDPI, vol. 13(15), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:15:p:4029-:d:394339
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    Cited by:

    1. Liuyi Jiang & Hong Zhang & Qingquan Duan & Xiaoben Liu, 2021. "Numerical Simulation of Acoustic Resonance Enhancement for Mean Flow Wind Energy Harvester as Well as Suppression for Pipeline," Energies, MDPI, vol. 14(6), pages 1-17, March.
    2. Byeong-Jo Hwang & Seongki Min, 2023. "Numerical Investigation of the Effect of Supersonic Air Temperature on the Mixing Characteristics of Liquid Fuel," Energies, MDPI, vol. 16(1), pages 1-17, January.
    3. Dongpeng Jia & Yu Pan & Ning Wang & Chaoyang Liu & Kai Yang, 2021. "Combustion Modes and Unsteady Characteristics during the Condition Transition of a Scramjet Combustor," Energies, MDPI, vol. 14(9), pages 1-14, April.
    4. Dongpeng Jia & Ning Wang & Yu Pan & Chaoyang Liu & Shiwei Wang & Kai Yang & Jian Liu, 2021. "Flow and Heat Transfer Characteristics of Supercritical N-Decane in Adjacent Cooling Channels with Opposite Flow Directions," Energies, MDPI, vol. 14(4), pages 1-19, February.

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