Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources

• Main Authors: Kumar, A., Ridha, S., Narahari, M., Ilyas, S.U.
• Format: Article
• Published: Elsevier Ltd 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108401817&doi=10.1016%2fj.eswa.2021.115409&partnerID=40&md5=34452051662d4ca0a7014a69b429be7e; http://eprints.utp.edu.my/23682/
• Institution: Universiti Teknologi Petronas

Numerical simulations of non-Newtonian fluids are indispensable for optimization and monitoring of several industrial processes such as crude oil transportation, nuclear cooling, geothermal and fossil fuel production. The governing equations derived for non-Newtonian fluid models result in nonlinear...