Tag: HEAT TRANSFER
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S-ST-1-17 Using Neural Networks for Predicting Nusselt Number for Intube Laminar Flows
July 25, 2022
Neural networks can be used to predict the Nusselt number for intube laminar flow. In addition to describing the architecture of a neural network, this report discusses the application of a neural network to a manufactured data set, open literature data, HTRI data, and CFD simulation results. Our results illustrate the...
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BT-42 Improved heat transfer methods for tubeside falling film evaporators
November 17, 2020
HTRI collected falling film evaporation data for two pure components and three mixtures in a vertical tube. Current falling film methods in Xist® 8.2 underpredict most of the measured heat transfer coefficients. Based on the latest data, we have improved our heat transfer methods, including a vapor-shear enhancement factor, a new mixture correction factor...
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Educational: Introduction to Two-phase Flow
December 04, 2018
Boiling, condensation, and multi-phase flows exist in many heat exchanger applications. This webinar describes the basic ideas used in heat transfer and pressure drop calculations of two-phase flow. It discusses theoretical and empirical models, a flow regime-based approach, and an overview of experimental research in the field....
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