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논문 기본 정보

자료유형
학술저널
저자정보
Long Yun (Jiangsu University) Zhu Rongsheng (Jiangsu University) Wang Dezhong (Shanghai Jiaotong University)
저널정보
한국원자력학회 Nuclear Engineering and Technology Nuclear Engineering and Technology 제52권 제11호
발행연도
2020.11
수록면
2,471 - 2,478 (8page)
DOI
https://doi.org/10.1016/j.net.2020.04.007

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초록· 키워드

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Pumps are essential machinery in the various industries. With the development of high-speed and largescale pumps, especially high energy density, high requirements have been imposed on the vibration andnoise performance of pumps, and cavitation is an important source of vibration and noise excitation inpumps, so it is necessary to improve pumps cavitation performance. The modern pump optimizationdesign method mainly adopts parameterization and artificial intelligence coupling optimization, whichrequires direct correlation between geometric parameters and pump performance. The existing cavitation performance calculation method is difficult to be integrated into multi-objective automatic couplingoptimization. Therefore, a fast prediction method for pump cavitation performance is urgently needed. This paper proposes a novel cavitation prediction method based on impeller pressure isosurface atsingle-phase media. When the cavitation occurs, the area of pressure isosurface Siso increases linearlywith the NPSHa decrease. This demonstrates that with the development of cavitation, the variation law ofthe head with the NPSHa and the variation law of the head with the area of pressure isosurface areconsistent. Therefore, the area of pressure isosurface Siso can be used to predict cavitation performance. For a certain impeller blade, since the area ratio Rs is proportional to the area of pressure isosurface Siso,the cavitation performance can be predicted by the Rs. In this paper, a new cavitation performanceprediction method is proposed, and the feasibility of this method is demonstrated

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