A Study on Premature Occurrence of Critical Heat Flux

Experimental investigation of dryout phenomena under oscillatory flow conditions

“…Guanghui et al 12 have used the artificial neural networks (ANN) technique to predict the CHF values under oscillatory flow conditions. They trained the algorithm based on the 138 forced circulation experiments 9–11 and 24 natural circulation experiments 10 . Total six input parameters were considered to propose the CF for the premature dryout under oscillatory conditions.…”

“…Mamoru et al 9 performed oscillatory CHF experiments in the SS 304 test section having an internal diameter of 0.005 m and an external diameter of 0.006 m, and the length of the test section is 0.9 m. During the experiments, if any thermocouples of the test section reached 200°C, it was assumed that CHF has occurred. The authors performed experiments in a wide range of operating conditions at inlet subcooling of 20°C.…”