Numerical prediction of the unsteady temperature distribution in a cooling cabinet

被引：12

作者：

Alfaro-Ayala, J. Arturo ^{[1
]}

Uribe-Ramirez, Agustin R. ^{[1
]}

Minchaca-Mojica, J. Isaac ^{[1
]}

Ramirez-Minguela, J. de J. ^{[1
]}

Alvarado-Alcala, B. Uciel ^{[1
]}

Lopez-Nunez, Oscar A. ^{[1
]}

机构：

[1] Univ Guanajuato, DCNE, Dept Chem Engn, Col Noria Alta S-N, Guanajuato 36050, Gto, Mexico

来源：

INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID | 2017年 / 73卷

关键词：

Cooling cabinet; Boussinesq approximation; Temperature polynomials; Unsteady state; CFD simulations; Refrigeration; NATURAL-CONVECTION; HEAT-TRANSFER; PERFORMANCE; REFRIGERATORS; DESIGN; CAVITY; SYSTEM; FLOW;

D O I：

10.1016/j.ijrefrig.2016.09.022

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

An unsteady state numerical study of a small cooling cabinet, using Computational Fluid Dynamics (CFD), is presented in this work. Three different cooling levels are simulated until 3.5 h of operational time is reached. The prediction of the temperature and the velocity distributions of the air inside the cooling cabinet is obtained using three different models: a) the use of constant properties (CP), b) the approximation of all the properties fitted to temperature polynomials (PFTP) and c) the variation of the density with temperature according to the Boussinesq approximation (BA). The CFD numerical results were validated against experimental data. It was concluded that both PFTP and BA models are good approaches to predict the unsteady temperature inside the cooling cabinet. (C) 2016 Elsevier Ltd and IIR. All rights reserved.

引用

页码：235 / 245

页数：11

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