Employing ensemble machine learning techniques for predicting the thermohydraulic performance of double pipe heat exchanger with and without turbulators-Reference-Cited by-同舟云学术

Employing ensemble machine learning techniques for predicting the thermohydraulic performance of double pipe heat exchanger with and without turbulators

Published:2024-01 Issue: Volume:47 Page:102337
ISSN:2451-9049
Container-title:Thermal Science and Engineering Progress
language:en
Short-container-title:Thermal Science and Engineering Progress

Author:

Sammil S.,Sridharan M.^ORCID

Publisher

Elsevier BV

Subject

Fluid Flow and Transfer Processes

Reference68 articles.

1. M. Sridharan, Application of fuzzy logic expert system in predicting cold and hot fluid outlet temperature of counter-flow double-pipe heat exchanger, Elsevier Inc., 2020. https://doi.org/10.1016/b978-0-12-819422-5.00014-1.

2. Predicting Performance of Double-Pipe Parallel- and Counter-Flow Heat Exchanger Using Fuzzy Logic;Sridharan;J. Therm. Sci. Eng. Appl.,2020

3. M. Sridharan, Applications of artificial intelligence techniques in heat exchanger systems, Elsevier Inc., 2020. https://doi.org/10.1016/b978-0-12-819422-5.00015-3.

4. Heat transfer improvement in a double pipe heat exchanger by means of perforated turbulators;Sheikholeslami;Energy Convers. Manag.,2016

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