Use of machine learning in predicting heat transfer and entropy generation in a flat plate solar collector with twisted tape turbulator and ferrofluid under the influence of an external uniform magnetic field: A numerical study-Reference-Cited by-同舟云学术

Use of machine learning in predicting heat transfer and entropy generation in a flat plate solar collector with twisted tape turbulator and ferrofluid under the influence of an external uniform magnetic field: A numerical study

Published:2024-01 Issue: Volume:590 Page:171657
ISSN:0304-8853
Container-title:Journal of Magnetism and Magnetic Materials
language:en
Short-container-title:Journal of Magnetism and Magnetic Materials

Author:

Suqi Wang,Chao Zhou,Congxiang Tian,Junyi Yu

Funder

Huaiyin Institute of Technology

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Reference63 articles.

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1. Multi-objective optimization and thermodynamic assessment of a solar unit with a novel tube shape equipped with a helical tape;Applied Thermal Engineering;2024-10

2. Development of ANN prediction model for estimation of heat transfer utilizing rectangular-toothed v-cut twisted tape;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2024-08-23

3. Experimental investigation of enhancement heat dissipation in a novel heat sink under simultaneous impact of impingement jet and magnetic field;Frontiers in Mechanical Engineering;2024-08-13