Data Reduction of the Multistage Compressor Using S2 Stream Surface Solver

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Abstract

Multistage compressor’s experiment performance often differs from its numerical simulation, because the real flow field is much more complicated than the CFD’s assumption of steady and uniform cascade inlet flow. While CFD cannot provide a reliable prediction for multistage compressor, analyzing experiment’s data could possibly be the only way to directly diagnose the compressor’s flow field and performance. Using the testing data between rotors and stators, this program can solve the S2 stream surface field which is hard to directly observe in the compressor test rig. By calculating meridian field with experimental and formulated model, the solution reveals the essential performance parameter of each stage and each element such as flow coefficient, loading coefficient, efficient, etc. These solutions are the base of figuring out the weakest design of the compressor flow field, and the result reveals the subsequent modification quantitatively. Compressors performance can hardly reach the design goal without several such trial and error iterations.

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Zhou, C., Gui, X., & Jin, D. (2019). Data Reduction of the Multistage Compressor Using S2 Stream Surface Solver. In Lecture Notes in Electrical Engineering (Vol. 459, pp. 892–906). Springer Verlag. https://doi.org/10.1007/978-981-13-3305-7_70

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