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An artificial intelligence approach to inverse heat transfer modeling of an irradiative dryer |
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| Authors: | Ali Mirsephai Morteza Mohammadzaheri Lei Chen Brian O'Neill |
| Affiliation: | 1. School of Chemical Engineering, University of Adelaide, SA 5005, Australia;2. School of Mechanical Engineering, University of Adelaide, SA 5005, Australia |
| Abstract: | In this work, a new solution approach was developed for heat estimation class of inverse heat transfer problems where radiation provides the dominant mode thermal energy transport. An Artificial Neural Network (ANN) was designed, trained and employed to estimate the heat emitted to irradiative batch drying process. |
| Keywords: | Inverse radiation Artificial neural networks Irradiative dryers Intelligent techniques Inverse heat transfer problems |
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