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ESTUDO NUMÉRICO DA INFLUÊNCIA DA PONTA E DO ESPAÇAMENTO DAS ALETAS NA TRANSFERÊNCIA DE CALOR EM TUBO DE ALETAS ANULARES

Autor: Jonatha Araújo, Lucas Eduardo Ferreira de Souza, Sandi Souza

Publikováno v: Revista Mundi Engenharia, Tecnologia e Gestão (ISSN: 2525-4782). 6

Resumo: Neste trabalho, técnicas de simulação numérica foram utilizadas como ferramenta de investigação do efeito da ponta das aletas e do espaçamento (S) entre elas na transferência de calor convectiva de um tubo horizontal com aletas anular

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b28f38a67369d450141ea6e421745fcb
https://doi.org/10.21575/25254782rmetg2021vol6n21363

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Numerical investigation of convection in tubes with aluminium and carbon steel fns: evaluating the assumption of convective heat transfer coefcient as that for the tube without fns and relating physical processes with the optimum spacing between fns

Autor: Kleiber Bessa, Sandi Souza, André Maurente

Publikováno v: Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN

Finned tubes exist in diverse geometric configurations, usually the convective heat transfer coefficient is unknown and approximated as that for a geometry similar to the actual one. This paper presents a numerical investigation about the convective

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec3835cf67eafba29744ebca1bfcfd99
https://repositorio.ufrn.br/handle/123456789/31809

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Using URANS to Predict Turbulent Flow Features in a Channel with Lateral Slot

Autor: Sandi Souza, Tiago de Melo, Jhon Nero Vaz Goulart

Publikováno v: Applied Mechanics and Materials. 394:101-107

Employing a commercial code an unsteady Reynolds Average Navier-Stokes (URANS) with Spalart-Allmaras as turbulence model numerical calculations were performed in order to predict the mean and velocity fluctuations fields in a rectangular channel with

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::989e66e5e890bd4bc451c8b043b927ce
https://doi.org/10.4028/www.scientific.net/amm.394.101

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