Experimental and numerical study on the heat transfer downstream of a confined rectangular cylinder in the laminar regime

Meis, M.; Varas, F.; Arias, J.R.; Velázquez, A.; Carretero, L.

doi:10.1016/j.ijheatmasstransfer.2018.08.113

Cited by 5 publications

(1 citation statement)

References 11 publications

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“…al. [43] an experimental and numerical study seeking a better comprehension of the problem addressed in [42], in particular the design with a rectangular cross section prism. They managed to observe in the experiment that there was little gain depending on the tilting angle of the prism, meaning that the effects dominating 2D simulations may not be the same ones that govern realistic boundary conditions or 3D simulations.…”

Section: The Confined Cylinder Problemmentioning

confidence: 99%

Enhancing scalar transport in confined laminar flows

Matesanz¹

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Enhancing scalar transport in confined laminar flows by Francisco SASTRE MATESANZ Experimental research is carried out to shed light over the kind of some flow topologies and mechanisms that may enhance mixing in confined flows. The purpose is to understand said mechanisms to find suitable ways of optimization and application for the industry. A summary of results has been published in journals that appear in the Journal Citation Reports. Last but not least, I must mention that this path would have been highly untamed without the encouragement and spirit of my laboratory colleagues: Dr. David Vicente (strategy advisor), Dr. Ji Xu (code guru), César Enriquez (political advisor), Sergio Henriquez (human database), David Gutierrez (L A T E X consultant), Óscar Santiago (cultural provider), Rafel Clemente (expert in 3D printers), Eloy Millán (Galician sage), and others.

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Section: The Confined Cylinder Problemmentioning

confidence: 99%

Enhancing scalar transport in confined laminar flows

Matesanz¹

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Effect of End Shape on Flow and Heat Transfer Characteristics of Two Parallel Plates

Zhang,

Hong,

Wang

et al. 2024

J. Therm. Sci.

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Bidirectional prediction between wake velocity and surface pressure using deep learning techniques

Liu,

Shum,

Tse

et al. 2024

Physics of Fluids

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The surface pressure and flow field of rectangular cylinders are of great importance in aerodynamic analyses of the cylinders. In general, it is easy to obtain one side of the information, either the surface pressure or the flow field, in reality. Deep learning (DL) techniques provide a new perspective to infer one side of the information from the other. Novel DL algorithms, specifically Dense Neuron Networks (DNN) and Graphic Attention Networks (GAT), are incorporated into the proposed high accuracy bidirectional prediction models in order to tackle the practical problems above. DNN employs a sequential compression architecture with a residual connection, and GAT applies an attention mechanism to update node value by connection edges defined by the relative position. The results demonstrate that in predicting surface pressure using wake velocity, GAT exhibits a 50% lower mean square error and more stable training progress than the DNN model. Predicting wake velocity using surface pressure yields accurate results for both DNN and GAT models. Specifically, the GAT structure shows better performance in capturing the vortex information near the trailing edge of the cylinder. Comparison of two models suggests that the GAT capability of rationally defining the interconnection of nodes through edges is advantageous in solving flow problems involving a spatially generalized physical mechanism.

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Experimental and numerical study on the heat transfer downstream of a confined rectangular cylinder in the laminar regime

Cited by 5 publications

References 11 publications

Enhancing scalar transport in confined laminar flows

Enhancing scalar transport in confined laminar flows

Effect of End Shape on Flow and Heat Transfer Characteristics of Two Parallel Plates

Bidirectional prediction between wake velocity and surface pressure using deep learning techniques

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