Application of boundary-fitted convolutional neural network to simulate non-Newtonian fluid flow behavior in eccentric annulus
Mathematical simulation of non-Newtonian fluid flow is an enduring problem with imperative influence on numerous industrial processes such as oil and gas drilling, food processing, etc. The relation between shear rate and shear stress is nonlinear for non-Newtonian fluids, which results in a highly...
| Main Authors: | Kumar, A., Ridha, S., Ilyas, S.U., Dzulkarnain, I., Pratama, A. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.33283 / |
| Published: |
Springer Science and Business Media Deutschland GmbH
2022
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126886432&doi=10.1007%2fs00521-022-07092-w&partnerID=40&md5=55d0aa28acab371ee052e17938fc1e54 http://eprints.utp.edu.my/33283/ |
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