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Performance Prediction of a Two-Stage High-Speed Axial Fan with Total Pressure Distorted Inflow Based on Body-Force Model

Jiahui Qiu, Min Zhang*, Zihao Zhu*, Juan Du, Penghao Duan

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

To predict the effect of inlet total pressure distortion on a two-stage high-speed axial fan with less computational costs, a three-dimensional body-force model (BFM) is developed. To capture the circumferential interaction of each sector under distortion condition, the governing equation of BFM is derived based on the time average operator. A correction factor is added to BFM to account for the effect of induced swirl, which is vital for simulating of coupling effect between distorted inflow and fan. Further, steady simulations with and without an inserted baffle distortion generator are performed using BFM, and the obtained distorted compressor characteristics are compared with the full-annulus Unsteady Reynolds-averaged Navier-Stokes (URANS) and experiment results. It is shown that the BFM can simulate the pressurization effect of each blade row on airflow and its deflection capability in the radial direction under uniform condition. The transfer of distorted characteristics insides the two-stage fan captured by BFM match well with URANS and experiment. The changes of blade loading with and without distortion are in line with URANS. After the airflow goes through the fan, the total temperature distortion would be induced. In addition, the intensity of total pressure distortion is weakened. Conversely, the intensity of total temperature distortion is enhanced, and the total temperature and static entropy at the blade tip region after turning out of the corresponding distortion baffle are more significant. All above-mentioned results demonstrate the BFM can significantly reduce the consumption of computing resources while effectively capture the main flow features inside fan. © Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2026
Original languageEnglish
Number of pages16
JournalJournal of Thermal Science
DOIs
Publication statusOnline published - 14 Mar 2026

Research Keywords

  • body-force model
  • baffle distortion generator
  • full-annulus URANS
  • experiment

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