Artificial neural network for numerical uncertainty quantification of water-al2o3 nanofluids heat transfer enhancement simulation using CFD multiphase mixture model

Simulating nanofluids heat transfer enhancement using numerical methods like Computational Fluid Dynamics (CFD) is a popular practice. Whereas it’s known that errors play an important role in numerical simulations and quantification of errors is extremely crucial for further proceedings using CFD, e...

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Bibliographic Details

Main Authors:	Al Mahmud, Suaib, Noor, Wazed Ibne, Khan, Mazbahur Rahman, Ismail, Ahmad Faris
Format:	Article
Language:	en en
Published:	Taylor and Francis Ltd. 2024
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://irep.iium.edu.my/122993/7/122993_Artificial%20neural%20network%20for%20numerical.pdf http://irep.iium.edu.my/122993/8/122993_Artificial%20neural%20network%20for%20numerical_Scopus.pdf http://irep.iium.edu.my/122993/ https://www.tandfonline.com/doi/abs/10.1080/10407790.2024.2320719
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