An artificial neural network-based automated identification system for selection of appropriate turbulence model for numerical simulation of tube thermal enhancement using nanofluids
The choice of appropriate turbulence model for numerical simulation of tube thermal enhancement using nanofluids by the means computational fluid dynamics (CFD) remains crucial since turbulence models contribute to numerical errors, and minimizing these errors is highly desirable for ensuring maxi...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en en |
| Published: |
Springer Nature
2025
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/123039/7/123039_An%20artificial%20neural%20network-based.pdf http://irep.iium.edu.my/123039/8/123039_An%20artificial%20neural%20network-based_Scopus.pdf http://irep.iium.edu.my/123039/ https://link.springer.com/article/10.1007/s00521-025-11397-x |
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