Modeling of Radiation of Participating Media with Coupled Finite Volume Method

2007 ◽  
Vol 21 (1) ◽  
pp. 239-243
Author(s):  
Guobiao Cai ◽  
Xiaoying Zhang ◽  
Ding-Qiang Zhu
Keyword(s):  
Finite Volume Method ◽  
Finite Volume ◽  
Participating Media ◽  
Volume Method

Radiation Adhered with Conduction Heat Transfer Adopting Finite Volume Method

2014 ◽  
Vol 592-594 ◽  
pp. 1746-1750
Author(s):  
Prerana Nashine ◽  
Ashok Kumar Satapathy
Keyword(s):  
Finite Volume Method ◽  
Finite Volume ◽  
Control Volume ◽  
Error Function ◽  
Discrete Ordinates ◽  
Participating Media ◽  
Promising Alternative ◽  
Transfer Method ◽  
The One ◽  
Volume Method

This article considers a radiative transport problem coupled with conduction in the one dimensional slab in the presence of participating media. The finite volume method of computation is presented to discretize the radiative transfer equation over the control volume and by using the error function, conduction term is being computed. In the mathematical derivation the RTE is integrated with respect to control volume and control angles with the freedom in choosing number of angular nodes. The results reveals that the proposed method is a promising alternative to the well-established practices like the discrete ordinates method (DOM), discrete transfer method (DTM), monte-carlo method and many more.

A Finite-Volume Method for Predicting a Radiant Heat Transfer in Enclosures With Participating Media

1990 ◽  
Vol 112 (2) ◽  
pp. 415-423 ◽  
Author(s):  
G. D. Raithby ◽  
E. H. Chui
Keyword(s):  
Heat Transfer ◽  
Finite Volume Method ◽  
Finite Volume ◽  
Radiant Heat ◽  
Computational Grids ◽  
Benchmark Problems ◽  
Radiant Heat Transfer ◽  
Test Results ◽  
Participating Media ◽  
Volume Method

A new “finite-volume” method is proposed to predict radiant heat transfer in enclosures with participating media. The method can conceptually be applied with the same nonorthogonal computational grids used to compute fluid flow and convective heat transfer. A fairly general version of the method is derived, and details are illustrated by applying it to several simple benchmark problems. Test results indicate that good accuracy is obtained on coarse computational grids, and that solution errors diminish rapidly as the grid is refined.

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