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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...

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書誌詳細
主要な著者:	Kumar, A., Ridha, S., Ilyas, S.U., Dzulkarnain, I., Pratama, A.
フォーマット:	論文
出版事項:	Springer Science and Business Media Deutschland GmbH 2022
オンライン･アクセス:	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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