Proceeding of International Heat Transfer Conference 11 1998
DOI: 10.1615/ihtc11.4500
|View full text |Cite
|
Sign up to set email alerts
|

Inverse Radiation Heat Transfer Within Enclosures With Nonisothermal Participating Media

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
11
0

Year Published

2003
2003
2019
2019

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 11 publications
(11 citation statements)
references
References 0 publications
0
11
0
Order By: Relevance
“…(7), we need to calculate the components of the sensitivity matrix, J nm , defined by Eq. (12). The sensitivity problem is obtained by differentiating the direct problem given by the set of Eqs.…”
Section: Sensitivity Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…(7), we need to calculate the components of the sensitivity matrix, J nm , defined by Eq. (12). The sensitivity problem is obtained by differentiating the direct problem given by the set of Eqs.…”
Section: Sensitivity Problemmentioning
confidence: 99%
“…Inverse design problems are classified as inverse boundary, inverse heat source, and shape determination problems. In the first type of the problem, the objective is to find a set of heaters over some part of the boundary, namely the heater surface in such a way that the desired temperature and heat flux distributions are recovered over the design surface [7][8][9][10][11][12][13][14][15][16][17][18][19]. A boundary control problem for finding the temperature distribution over the design surface to reconstruct the desired temperature distribution inside the cavity has been presented in [20].…”
Section: Introductionmentioning
confidence: 99%
“…The authors observed that the resulting set of equations for the inverse problem is ill‐conditioned, and thus the need to resort to the Modified Truncated SVD [25] (MTSVD) matrix inversion method to compute Le i . Working with the same approach (linearizing the system to solve it and MTSVD or TSVD to invert it due to its ill‐conditioning), França et al [15] and Morales et al [38] solved the inverse problem of source emissivities, this time in the presence of participating media. In the latter two cases, the problem requires the introduction of a system of equations resulting from the discretization of the medium into volume elements in order to solve the corresponding partial differential equations (PDE).…”
Section: Inverse Lighting Problems (Ilp)mentioning
confidence: 99%
“…These kinds of problems are known as inverse problems. The inverse problems may be classified into two categories of "design" [1][2][3][4][5][6][7][8][9][10][11][12][13] and "identification" [14][15][16][17][18][19][20][21][22] problems. The inverse problems can be solved by the regularization (explicit) and optimization (implicit) methods.…”
Section: Introductionmentioning
confidence: 99%