Prediction of heat transfer coefficient from pressure drop using machine learning techniques in smooth horizontal pipes

Megri, Ahmed Cherif

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DOE OSTI · 2570958

Prediction of heat transfer coefficient from pressure drop using machine learning techniques in smooth horizontal pipes

Megri, Ahmed Cherif

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Abstract

Limited experimental work has been done focusing specifically on the relationship between pressure drop and heat transfer in the transient flow regime in pipes. The aim of this study was therefore to use machine learning to find a relationship between pressure drop and heat transfer coefficients of developing and fully developed flow in smooth horizontal circular tubes in the laminar, transient, quasi-turbulent and turbulent. The data are collected from literature, coming from experimentation. Pressure drops and heat transfer measurements were taken simultaneously and the relationship between pressure drop, and heat transfer was determined using multiple machine learning techniques.

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Megri, Ahmed Cherif. 2022-11-01. Prediction of heat transfer coefficient from pressure drop using machine learning techniques in smooth horizontal pipes. https://www.osti.gov/biblio/2570958

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