| Citation: | BAI Yang, LUO Xiang, XU Guoqiang, et al. Flow self-modeling characteristics in multi-inlet rotor-stator cavity[J]. Journal of Aerospace Power, 2025, 40（4）：20240240 doi: 10.13224/j.cnki.jasp.20240240
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Due to limitations in experimental conditions and cost considerations, significant discrepancies often exist amongst the non-dimensional criteria parameters associated with the actual operating conditions of aviation engines. To address the limitations in the application of experimental data resulting from the difficulties associated with the application of similar principles arising from the aforementioned discrepancies, the self-modeling characteristics of flow characteristic parameters in a multi-inlet rotor-stator cavity were systematically investigated. The research findings indicated that, within mainstream characteristic turbulence parameters ranges from 0.015 to 0.035, jet characteristic turbulence parameters ranges from 0.003 to 0.009 and the rotational Reynolds ranges from 2.06×106 to 1.03×107, it is possible to establish a modulated turbulent parameter using specific methods. This parameter emerged as the key factor enabling the manifestation of self-modeling characteristics in the flow characteristic of the rotor-stator cavity. Even in the case of a multi-inlet cavity with complex and non-axially uniform inlet conditions, when the modulated characteristic turbulent parameter was consistent, the flow structure remained in a highly similar state. Despite of significant changes in non-dimensional criteria parameters, the flow characteristic parameters remained consistent. Based on the self-modeling state of the flow described above, a preliminary framework can be established for extrapolating experimental results of multiple flow characteristic parameters obtained at low rotational Reynolds numbers to high rotational Reynolds numbers. This approach could provide a support for the extension of experimental results and their application in subsequent related experiments conducted under high rotational Reynolds numbers.
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