Volume 40 Issue 3
Mar.  2025
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WANG Ri, QI Bin, A Rong, et al. Simulation study on rapid method for high temperature gas flow parameter search in transient thermal test[J]. Journal of Aerospace Power, 2025, 40(3):20230393 doi: 10.13224/j.cnki.jasp.20230393
Citation: WANG Ri, QI Bin, A Rong, et al. Simulation study on rapid method for high temperature gas flow parameter search in transient thermal test[J]. Journal of Aerospace Power, 2025, 40(3):20230393 doi: 10.13224/j.cnki.jasp.20230393

Simulation study on rapid method for high temperature gas flow parameter search in transient thermal test

doi: 10.13224/j.cnki.jasp.20230393
  • Received Date: 2023-06-17
    Available Online: 2024-11-01
  • The method of fixing gas mass flow rate and adjusting gas flow temperature is generally used to achieve aerodynamic thermal equivalent simulation in high temperature gas flow thermal tests. A method was proposed to quickly determine the test parameters of the gas flow by using the numerical calculation results of the high temperature gas flow and establishing a heat flux surrogate model, thus forming a closed-loop control method with the gas flow temperature as the control target. Kriging surrogate model method was used to establish the cold wall heat flux surrogate model under different flow rates and gas flow temperatures, and the hot wall heat flux surrogate model under fixed gas flow rates, and different gas flow temperatures and specimen surface temperatures. The average relative errors of the predicted heat flux at the test operating points were 0.27% and 0.48%, respectively, indicating high prediction accuracy. Further, the mass flow rate and temperature of gas flow were determined according to the aerodynamic thermal simulation requirements of 9 typical status points of a flight envelope. The relevant numerical calculation verification showed that the maximum relative error between the high-temperature gas flow heating hot wall heat flux and the aerodynamic thermal simulation requirements of each status point was 3.04%, and the average relative error was 0.87%, realizing the full-time sequence high-precision simulation function.

     

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