Mass flow rate prediction of R1233zd through electronic expansion valves based on ANN and power-law correlation models

Applied Thermal Engineering(2019)

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摘要
•The mass flow rate characteristics of R1233ZD through EEVs are studied experimentally.•Two models based on ANN and Power-law correlation for mass flow rate prediction are proposed.•Both of the two models fit the experimental results well with relative deviations between ±10%.•However, ANN model gave a relative better agreement with experimental data compared to that of power-law correlation.
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关键词
Artificial neural network,Power-law correlation,EEV,R1233zd,Mass flow rate
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