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Prediction of two-phase pressure drop and void fraction in microchannels using probabilistic flow regime mapping
Affiliation:1. School of Energy and Power Engineering, Xi''an Jiaotong University, Xi''an 710049, China;2. Qingdao Haier Air Conditioner General Corp., Ltd., Qingdao 266103, China;1. Air Conditioning and Refrigeration Center, Department of Mechanical Engineering and Science, University of Illinois at Urbana-Champaign, 1206 W Green St, Urbana, IL, USA;2. Oak Ridge National Laboratory, Building Equipment Group, 1 Bethel Valley Rd, Oak Ridge, TN, USA;3. CTS - Creative Thermal Solutions, 2209 Willow Rd, Urbana, IL, USA
Abstract:Probabilistic two-phase flow map pressure drop and void fraction models are developed for 6-port microchannels in order to provide a more accurate and common means of predicting void fraction and pressure drop. The models are developed for R134a, R410A, and air–water in 6-port microchannels at 10 °C saturation temperatures, qualities from 0 to 1, and mass fluxes varying from 50 to 300 kg/m2 s. The probabilistic flow map models developed are found to accurately predict void fraction and pressure drop for the entire quality range and for all three fluids.
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