Research Article

Optimization of R245fa Flow Boiling Heat Transfer Prediction inside Horizontal Smooth Tubes Based on the GRNN Neural Network

Table 3

Standard orthogonal array of simulated ambient parameters and boiling heat transfer coefficient.

Simulated ambient conditionsAtmospheric pressure (kPa)Ambient temperature (°C)Ambient relative humidity (%)Ambient wind velocity (m/s)Mass flux rate (kg m−2 s−1)Heat flux (W m−2)Quality of vapor-liquid mixture (%)Evaporation temperature (K)

180.73530152.7763.4532.320.5429313.15
280.73526202.1294.9509.180.3722313.15
380.73522251.5491.5231.540.4996313.15
480.73530201.5688.1300.780.7061323.15
580.73526252.7786.3240.620.5957323.15
680.73522152.1393.2694.330.3920323.15
780.73530252.1196.6416.600.1660333.15
880.73526151.5678.3891.730.4425333.15
980.73522202.7589.8601.640.1981333.15