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Ensemble and traditional machine learning models for double pipe heat exchanger with vaned twisted tapes

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Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Ahead of Print.
This study investigates the predictive performance of traditional machine learning algorithms and ensemble learning techniques for evaluating the thermal–hydraulic behavior of a double pipe heat exchanger fitted with vane-modified twisted tapes. ...