Numerical Heat Transfer, Part A: Applications
 2022
DOI: 10.1080/10407782.2022.2091367
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Numerical investigation of heat transfer in helical tubes modified with aluminum oxide nanofluid and modeling of data obtained by artificial neural network

Ehsan Boumari
1
,
Masoumeh Mojazi Amiri
2
,
Amirhosein Khadang
3
et al.
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Cited by 8 publications
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References 29 publications
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Numerical investigation about radius ratio effect of helical tubes in the heat exchanger

Xing,
Zhao,
Dong
et al. 2023
Nuclear Engineering and Design
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Numerical investigation about radius ratio effect of helical tubes in the heat exchanger

Xing,
Zhao,
Dong
et al. 2023
Nuclear Engineering and Design
1
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Novel Bayesian distributed adaptive neural structure for titanium and aluminium alloy nanofluidic model with gyrotactic microorganisms

Shah,
Raja,
Shoaib
et al. 2024
Tribology International
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Mixed convection simulation of TMPHN by Eringen’s micropolar rules, Tiwari–Das nanofluid model, and mass-based hybridity algorithm

Jabbaripour,
Dinarvand,
Abbasi
et al. 2023
Numerical Heat Transfer, Part A: Applications
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