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Selection and verification of the mathematical model and mesh of The GPSD under moving water condition

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DOI: 10.23977/acss.2024.080304 | Downloads: 2 | Views: 74

Author(s)

Ruiming Song 1, Cheng Yin 1, Yong Yang 1, Lan Zheng 1, Weijian Ge 2, Sunyou Hao 1, Zhipeng Chen 1, Gangbo Dong 1, Lei Yu 3

Affiliation(s)

1 Anhui Water Conservancy Technical College, Hefei, Anhui, 231603, China
2 Comenius University Bratislava, Bratislava, 85000, Slovakia
3 Faculty of Management, Hefei University of Technology, Hefei, Anhui, 230001, China

Corresponding Author

Cheng Yin

ABSTRACT

In order to ensure the accuracy of numerical simulation results for the Gill-piece separation device (GPSD), an exploration of the optimal mathematical model and mesh parameters was conducted. The Mixture model in CFX was coupled with RNG k-ɛ, SST, BSL, and SSG turbulence models to simulate the water-sand two-phase flow field in the GPSD under dynamic water conditions. By comparing the numerical simulation results with physical experimental phenomena, it is found that the velocity vector diagram calculated by the Mixture-RNG k-ɛ coupling model conforms more closely to the physical experimental phenomena (Double-layered Counterflow), and the relative error of the water-sand separation efficiency calculated by the Mixture-RNG k-ɛ coupling model is very small, only 1.77%. Thus, it can be regarded as the optimal mathematical model for numerical simulation of the GPSD under dynamic water conditions. Considering factors such as computational time, the number of meshin numerical simulation should be set to around 300,000 for the best performance.

KEYWORDS

Numerical simulation; computational methods; mathematical model; mesh; water-sand two-phase flow; Gill-piece separation device (GPSD)

CITE THIS PAPER

Ruiming Song, Cheng Yin, Yong Yang, Lan Zheng, Weijian Ge, Sunyou Hao, Zhipeng Chen, Gangbo Dong, Lei Yu, Selection and verification of the mathematical model and mesh of The GPSD under moving water condition. Advances in Computer, Signals and Systems (2024) Vol. 8: 25-32. DOI: http://dx.doi.org/10.23977/acss.2024.080304.

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