Air temperature fields inside refrigeration cabins: A comparison of results from CFD and ANN modelling

► The gradients of air temperature inside domestic refrigerator are studied. ► Using the monitoring results an Artificial Neural Network (ANN) is developed. ► ANN results are promising when compared with the ones from other numerical tools. ► ANN approach enables to predict the air temperature fields inside refrigerator. ► Critical variations are detected avoiding the need for exhaustive experimental tests.