Abstract
Thermal non-equilibrium in porous medium is a condition that refers to temperature discrepancy in solid matrix and fluid of porous medium. This type of flow is complex flow requiring complex set of partial differential equations that govern the flow behavior. The current work is undertaken to predict the thermal non-equilibrium behavior of porous medium adjacent to vertical plate using artificial neural network. A set of neurons in 3 layers are trained to predict the heat transfer characteristics. It is found that the thermal non-equilibrium heat transfer behavior in terms of Nusselt number of fluid as well as solid phase can be predicted accurately by using well-trained neural network.
Original language | English |
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Title of host publication | 2nd International Conference on Condensed Matter and Applied Physics, ICC 2017 |
Editors | Manoj Singh Shekhawat, Sudhir Bhardwaj, Bhuvneshwer Suthar |
Publisher | American Institute of Physics Inc. |
Volume | 1953 |
ISBN (Electronic) | 9780735416482 |
DOIs | |
Publication status | Published - May 8 2018 |
Event | 2nd International Conference on Condensed Matter and Applied Physics, ICC 2017 - Bikaner, India Duration: Nov 24 2017 → Nov 25 2017 |
Other
Other | 2nd International Conference on Condensed Matter and Applied Physics, ICC 2017 |
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Country/Territory | India |
City | Bikaner |
Period | 11/24/17 → 11/25/17 |
ASJC Scopus subject areas
- Physics and Astronomy(all)