Heat transfer performance prediction of Taylor–Couette flow with longitudinal slits using artificial neural networks-Reference-Cited by-同舟云学术

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Heat transfer performance prediction of Taylor–Couette flow with longitudinal slits using artificial neural networks

Published:2023-02 Issue: Volume:221 Page:119792
ISSN:1359-4311
Container-title:Applied Thermal Engineering
language:en
Short-container-title:Applied Thermal Engineering

Author:

Sun Si-Liang,Liu Dong,Wang Ying-Ze,Kim Hyoung-Bum,Hassan Mubashir,Hong Huai-Jing

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Energy Engineering and Power Technology

Reference40 articles.

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2. Performance assessments and simulations of ROT (radial outflow turbine) for back-pressure turbine generator system;Kim;Energy,2021

3. Numerical approach for thermal analysis of heat transfer into a very narrow air gap of a totally enclosed permanent magnet integrated starter generator;Nachouane;IEEE Energy Conversion Congress Exposition (ECCE),2015

4. Enhancement of forced convection in wide cylindrical annular channel using rotating inner pipe with interrupted helical fins;Abou-Ziyan;Int. J. Heat Mass Transf.,2016

5. The effect of smaller turbulent motions on heat transfer in the annular gap flow of flywheel;Wang;Ann. Nucl. Energy,2016

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