2006
DOI: 10.1016/j.icheatmasstransfer.2005.12.007
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An inverse radiation boundary design problem for an enclosure filled with an emitting, absorbing, and scattering media

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Cited by 29 publications
(5 citation statements)
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“…En la metodología inversa [61], ambas condiciones de frontera se aplican de forma explícita sobre la superficie de diseño, mientras las configuraciones del emisor son las variables desconocidas. Cuando el problema es planteado de esta forma, se convierte en un problema "mal planteado" (un problema "bien planteado", debe tener una solución que sea única y al mismo tiempo estable, bajo pequeños cambios en las condiciones de entrada [12]), por el cual no existe una solución analítica por medio de los métodos tradicionales, y por ende es necesaria la regularización [12], [13], [62].…”
Section: Método De Optimización E Inversounclassified
“…En la metodología inversa [61], ambas condiciones de frontera se aplican de forma explícita sobre la superficie de diseño, mientras las configuraciones del emisor son las variables desconocidas. Cuando el problema es planteado de esta forma, se convierte en un problema "mal planteado" (un problema "bien planteado", debe tener una solución que sea única y al mismo tiempo estable, bajo pequeños cambios en las condiciones de entrada [12]), por el cual no existe una solución analítica por medio de los métodos tradicionales, y por ende es necesaria la regularización [12], [13], [62].…”
Section: Método De Optimización E Inversounclassified
“…When solving an inverse problem such as a heater design problem, in addition to solving the energy and radiative transfer equations, an efficient optimization algorithm is also required to minimize the objective function. Optimizations in the solution of an inverse problem can be achieved using the Levenberg-Marquardt method (LM) [7], the automatic differentiation method [7], the secant method [7], the conjugate gradient method (CGM) [8,9], and the genetic algorithm (GA) [10][11][12][13][14]. Except the GA, the above optimization methods adopt deterministic approaches that may or may not target solutions close to the global optimal domain.…”
Section: Introductionmentioning
confidence: 99%
“…Kim FVM for conduction and radiation in a two-dimensional cylindrical enclosure, as well as various optimization methods outlined above. Pourshaghaghy et al [8] studied inverse formulations in an irregular geometry considering only the radiative phenomena. Duan and Howell [9] applied a truncated singular value decomposition method to solve the system of equations.…”
Section: Introductionmentioning
confidence: 99%
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“…In [6], the design problem consisted in finding a space distribution of heat source, which would provide for the preassigned temperature and heat flux on the surface being heated; the quantized problem was solved by the conjugategradient method. The approach of both these studies does not fundamentally differ from the approach of [1].…”
Section: Introductionmentioning
confidence: 99%