Artificial neural networks application on friction factor and heat transfer coefficients prediction in tubes with inner helical-finning-Reference-Cited by-同舟云学术

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Artificial neural networks application on friction factor and heat transfer coefficients prediction in tubes with inner helical-finning

Published:2022-04 Issue: Volume:206 Page:118049
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Skrypnik A.N.^ORCID,Shchelchkov A.V.^ORCID,Gortyshov Yu.F.,Popov I.A.

Funder

Russian Foundation for Basic Research

Ministry of Science and Higher Education of the Russian Federation

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference62 articles.

1. Heat transfer augmentation;Bergles,1988

2. Enhanced Heat Transfer;Webb,2005

3. Experimental study of heat transfer enhancement with wire coil inserts in laminar-transition-turbulent regimes at different Prandtl numbers;Garcia;Int. J. Heat Mass Transfer,2005

4. Experimental investigation on heat transfer and frictional characteristics of spirally corrugated tubes in turbulent flow at different Prandtl numbers;Vicente;Int. J. Heat Mass Transfer,2004

5. Heat transfer and friction characteristics of spirally corrugated tubes for power plant condensers—1. Experimental investigation and performance evaluation;Zimparov;Int. J. Heat Mass Transfer,1991

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