A research on the compressor blade tip pressure modeling and stall detection measure
| Autor: | Fengyong Sun, Haibo Zhang |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Compressor stall
020301 aerospace & aeronautics Engineering Hardware_MEMORYSTRUCTURES Correlation coefficient business.industry 020209 energy Mechanical Engineering Aerospace Engineering Stall (fluid mechanics) 02 engineering and technology Axial compressor 0203 mechanical engineering Control theory Compressor blade 0202 electrical engineering electronic engineering information engineering Physics::Accelerator Physics Duct (flow) Surge business Gas compressor |
| Zdroj: | Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering. 230:2654-2660 |
| ISSN: | 2041-3025 0954-4100 |
| DOI: | 10.1177/0954410016629703 |
| Popis: | A new compressor rotational stall detection algorithm is proposed in this paper, and a well monotonicity exists in the correlation coefficient calculated by the algorithm and compressor surge margin. In order to reconstruct the compressor blade pressure, a trustworthy digital compressor blade pressure model is built. Specially, the model consists of three sub-models, the blade duct pressure model, rotational stall pulsation pressure model, and corrected rotational stall damping model. Simulation results indicate the effectiveness of the stall detection algorithm and compressor stochastic pressure model, which means that the correlation coefficient calculated from the algorithm and stochastic pressure model has a high reliability to take the place of surge margin as the flag of compressor stability. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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