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Intelligent Computation of Bubble Group Motion in Mesoscale Simulation

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Book cover Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1088))

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Abstract

In the pump-free lithium bromide absorption refrigeration system, the two-phase flow pattern in the lift tube of the bubble pump has a decisive influence on the lift performance of the bubble pump. The heat and mass transfer between two phase interfaces can be accurately described by mesoscale method,In order to explore the working mechanism of lithium bromide solution bubble pump, the improved lattice Boltzmann method combine lattice Boltzmann heat transfer model are adopted to simulate The rising process and coalescence behavior of multiple bubbles in lithium bromide solution in a vertical bubble pump with gas-liquid density ratio of 2778. The density field and velocity vector distribution of multiple bubbles under different initial conditions were obtained. The critical coalescence distance of water vapor in lithium bromide solution with double bubbles and 3 bubbles is obtained. The motion process of 4 bubbles with different initial settings is simulated. The influence of the number of bubbles on the critical coalescence distance is discussed. That results provide a great reference value for the study of the transition mechanism between flow patterns.

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Acknowledgements

This work was funded by National Natural Science Foundation of China (project number: 51609131); Shandong Provincial Natural Science Foundation, China (project number: ZR2017MEE031); Shandong Jiaotong University Doctoral Research Initiation Fund, and Shandong Jiaotong University “Climbing” Research Innovation Team Program. Shandong Provincial Key R&D plan (project number: 2018GGX105002).

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Correspondence to Shaojun Zhang .

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Liu, B., Wang, M., Yu, F., Zhang, S. (2020). Intelligent Computation of Bubble Group Motion in Mesoscale Simulation. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_102

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