Boundary layers and domain decomposition for radiative heat transfer and diffusion equations: applications to glass manufacturing process

1998 ◽  
Vol 9 (4) ◽  
pp. 351-372 ◽  
Author(s):  
A. KLAR ◽  
N. SIEDOW

In this paper domain decomposition methods for radiative transfer problems including conductive heat transfer are treated. The paper focuses on semi-transparent materials, like glass, and the associated conditions at the interface between the materials. Using asymptotic analysis we derive conditions for the coupling of the radiative transfer equations and a diffusion approximation. Several test casts are treated and a problem appearing in glass manufacturing processes is computed. The results clearly show the advantages of a domain decomposition approach. Accuracy equivalent to the solution of the global radiative transfer solution is achieved, whereas computation time is strongly reduced.

2006 ◽  
Vol 49 (2) ◽  
pp. 533-540 ◽  
Author(s):  
Abul Mukid Mohammad MUKADDES ◽  
Masao OGINO ◽  
Hiroshi KANAYAMA ◽  
Ryuji SHIOYA

Author(s):  
K Muralidhar ◽  
A Chatterjee ◽  
B V Nagabhushana Rao

The present work is concerned with the application of the domain decomposition technique for modelling transient flow and heat transfer problems. The solutions obtained within each subdomain are matched at the interfaces using Uzawa's algorithm. This algorithm has been originally developed in the context of steady heat conduction. The objective of the present study is to test and extend the algorithm to a wider class of problems. Examples considered are non-linear heat conduction in one and two dimensions, simulation of oil recovery from porous formations using water injection, movement of a plane thermal front and heat transfer from a cylinder placed in Darcian flow. The suitability of Uzawa's algorithm for interface treatment with up to nine subdomains has been studied. The method is found to converge to the full-domain solution in all cases considered. Besides this, results show that there are additional advantages which include the generation of small matrices and, in certain cases, a marginal reduction in CPU (central processing unit) time, even on sequential machines.


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