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Journal ArticleDOI

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

G. D. Raithby, +1 more
- 01 May 1990 - 
- Vol. 112, Iss: 2, pp 415-423
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TLDR
A new finite-volume method is proposed to predict radiant heat transfer in enclosures with participating media and test results indicate that good accuracy is obtained on coarse computational grids, and that solution errors diminish rapidly as the grid is refined.
Abstract
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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Fire dynamics simulator (Version 3) - Technical reference guide

TL;DR: This guide provides the theoretical basis for the Fire Dynamics Simulator (FDS) and a summary of the work performed to evaluate the model, and a survey of work conducted to date to evaluate FDS.
Journal ArticleDOI

Computation of radiant heat transfer on a nonorthogonal mesh using the finite-volume method

TL;DR: The finite volume method has been shown to effectively predict radiant exchange in geometrically simple enclosures where the medium is gray, absorbing, emitting, and scattering as mentioned in this paper, and it has been used to predict radiant heat transfer on the same mesh employed to solve the equations of fluid motion.
Journal ArticleDOI

Finite volume method for radiation heat transfer

TL;DR: In this paper, a finite-volume (FV) method for computing radiation heat transfer processes is presented. But the main ingredients of the calculation procedure were presented by Chai et al. The resulting method has been tested, refined and extended to account for various geometrical and physical complexities.