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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Journal of Porous Media
Импакт фактор: 1.49 5-летний Импакт фактор: 1.159 SJR: 0.43 SNIP: 0.671 CiteScore™: 1.58

ISSN Печать: 1091-028X
ISSN Онлайн: 1934-0508

Выпуски:
Том 22, 2019 Том 21, 2018 Том 20, 2017 Том 19, 2016 Том 18, 2015 Том 17, 2014 Том 16, 2013 Том 15, 2012 Том 14, 2011 Том 13, 2010 Том 12, 2009 Том 11, 2008 Том 10, 2007 Том 9, 2006 Том 8, 2005 Том 7, 2004 Том 6, 2003 Том 5, 2002 Том 4, 2001 Том 3, 2000 Том 2, 1999 Том 1, 1998

Journal of Porous Media

DOI: 10.1615/JPorMedia.v13.i4.80
pages 375-385

A NUMERICAL ANALYSIS OF THERMAL CONDUCTIVITY, THERMAL DISPERSION, AND STRUCTURAL EFFECTS IN THE INJECTION PART OF THE RESIN TRANSFER MOLDING PROCESS

Mohammad Layeghi
Department of Wood & Paper Science & Technology, University of Tehran; and School of Mechanical Engineering, Sharif University of Technology, Iran
Mohammad Karimi
Sharif University of Technology, Iran
Hamid Reza Seyf
Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, Missouri 65211, USA

Краткое описание

Thermal conductivity, thermal dispersion, and structural effects in resin transfer molding (RTM) process are studied numerically. The injection part of the RTM process is modeled as a transport of resin flow through a fibrous porous medium in a long rectangular channel. The fluid flow is modeled using the Darcy-Brinkman-Forchheimer model and the heat transfer process using the energy equation based on local thermal equilibrium assumption. Both isotropic and anisotropic heat transfer in porous media are investigated. The governing equations are solved numerically for the isotropic heat transfer case and analytically for the anisotropic case. The numerical results are fitted to the available experimental data with at most 3% discrepancy, and the effective thermal conductivity of the fibrous porous medium is estimated. Taking into account the quadratic dependency of dispersion conductivity on Peclet number, the Chang model is recommended for the prediction of stagnant thermal conductivity as well as a correlation for dispersion conductivity. Finally, the effects of structural parameters on temperature distribution and velocity profiles are investigated.


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