Machine Learning Based Heat Transfer Optimization of Nano-fluid flow in a Helically Coiled Pipe
2021 ◽
Vol 9
(12)
◽
pp. 1717-1731
Keyword(s):
Abstract: Machine Learning algorithms are widely used in various fields such as energy sectors, manufacturing sectors and aerospace sectors. These algorithms are used mainly in predictive and optimization purpose. The present study deals with the application of two machine learning algorithms i.e. Random Forest algorithm and Support Vector Machine Algorithm to predict the heat transfer efficiency of a flowing nano-fluid in a helically coiled pipe. Keywords: Machine Learning; Optimization; Nano-fluid; Heat Transfer
2021 ◽
Vol 9
(VI)
◽
pp. 3605-3611
2018 ◽
Vol 7
(2.8)
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pp. 684
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2020 ◽
Vol 11
(9)
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pp. 442-449
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2021 ◽
Vol 10
(3)
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pp. 14-25
2021 ◽
Vol 9
(11)
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pp. 24-29
2018 ◽
Vol 11
(3)
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pp. 1121
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2021 ◽
Vol 9
(12)
◽
pp. 1-10