| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 647974 | Applied Thermal Engineering | 2011 | 8 Pages |
Abstract
⺠The gradients of air temperature inside domestic refrigerator are studied. ⺠Using the monitoring results an Artificial Neural Network (ANN) is developed. ⺠ANN results are promising when compared with the ones from other numerical tools. ⺠ANN approach enables to predict the air temperature fields inside refrigerator. ⺠Critical variations are detected avoiding the need for exhaustive experimental tests.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Fluid Flow and Transfer Processes
Authors
C. Conceição António, C.F. Afonso,