Unified ANN model for heat transfer factor (j) and friction factor (f) prediction in offset strip and wavy fin PFHEs

Unified ANN model for heat transfer factor (j) and friction factor (f) prediction in offset strip and wavy fin PFHEs

Accurate prediction of the dimensionless heat transfer (j factor) and friction factor (f factor) is crucial for optimizing plate-fin heat exchanger (PFHE) performance. However, current models, including existing ANN models, have difficulty predicting these factors for complex fin geometries such as...

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Bibliographic Details
Main Authors: Naresh Kedam, Dmitry A. Uglanov, Evgeniy V. Blagin, Alexey A. Gorshkalev, Roman A. Panshin, Junjie Liu
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Case Studies in Thermal Engineering
Subjects:
Plate-fin heat exchangers (PFHEs)
Artificial neural network (ANN)
heat transfer factor (j-factor)
Friction factor (f-factor)
Machine learning in thermal engineering
Air side flow correlations
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X23011516

Internet

http://www.sciencedirect.com/science/article/pii/S2214157X23011516

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