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Machine Learning Based Heat Transfer Optimization of Nano-fluid flow in a Helically Coiled Pipe
2021
International Journal for Research in Applied Science and Engineering Technology
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
doi:10.22214/ijraset.2021.39576
fatcat:cbiwsghqlncy7gh5szfuj2du6q