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[HTML][HTML] Comprehensive study of flow boiling modeling inside helical micro-finned tubes: Empirical, non-convex optimization and deep learning predictive models
Over the past decades, the design of evaporators has experienced improvement due to
accruing experimental and numerical research on flow boiling. For micro-finned geometries …
accruing experimental and numerical research on flow boiling. For micro-finned geometries …
Machine learning-based approach for predicting flow boiling heat transfer coefficient at high saturation temperatures
This paper explores the prediction performance of nine (9) machine learning (ML) models at
high saturation temperatures for which most empirical models have been reported to fail …
high saturation temperatures for which most empirical models have been reported to fail …
[HTML][HTML] Novel dimensionless predictive flow pattern map for HFOs inside microscale enhanced tubes
Abstract Models designated to predict flow patterns in microscale geometries with enhanced
surfaces such as micro-finned tubes are scarce in the literature and new low-GWP HFOs …
surfaces such as micro-finned tubes are scarce in the literature and new low-GWP HFOs …
Prediction of thermo-hydraulic properties of flow in an innovative plate heat exchanger using machine learning algorithms
Reducing fuel consumption and toxic gas emissions is a major concern in modern energy
research. This paper investigates the performance and heat transfer enhancement of an …
research. This paper investigates the performance and heat transfer enhancement of an …