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International Heat Transfer Conference 16

ISSN: 2377-424X (online)
ISSN: 2377-4371 (flashdrive)

PHASE CHANGE SIMULATION OF TWO-PHASE R134A FLOW IN A HORIZONTAL T-JUNCTION

Pei Lu
Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), MOE, Tianjin, 300350, China

Li Zhao
Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), MOE, Tianjin, 300350, China

Shuai Deng
Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), Ministry of Education of China, Tianjin 300350, China

Yawei Shao
Key Laboratory of Efficient Utilization of Low and Medium Grade Energy (Tianjin University), MOE, Tianjin, 300350, China

DOI: 10.1615/IHTC16.bae.022657
pages 1301-1308


KEY WORDS: Boiling and evaporation, Two-phase/Multiphase flow, T-junction, Flash model, refrigerants

Abstract

T-junction has already been widely applied in the current industry. However, the research on phase separation and phase change on refrigerants in T-junction just emerged in recent years. Thus, the phenomenon of local phase transition in horizontal T-junction is investigated with the inlet mass flow rate of 0.02 kgs-1, inlet quality of 0.3 and inlet temperature of 293.5 K in this paper. Lee model and Thermal Phase Change model are applied to simulate the phase change of R134a. The length of each arm is 0.4 m and the diameter is 0.008 m. The two-phase Eulerian model is applied for simulating the two-phase flow in T-junction. Compared to classical models, the phase change models performed in this study are coded by user defined functions and the model is the function of pressure in T-junctions. Finally, the simulation results are compared with experimental data. Results show that when the phase change models are applied, the mass fraction of branch tube is closer to experimental data than data with no phase change model. In addition, the phase change proportion of Lee model is larger than that of Thermal Phase Change Model and the mass fraction predicted by Lee model is closer to experimental data than the data from Thermal Phase Change Model. This work will help to promote a further understanding and provide a possible guideline for predicting the mass proportion of the phase change in T-junctions.

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