2014
DOI: 10.1007/s12206-013-1139-y
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Inverse radiation-conduction estimation of temperature-dependent emissivity using a combined method of genetic algorithmand conjugate gradient

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Cited by 15 publications
(4 citation statements)
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“…Next, the new particle distribution functions g i ðrþ ẽ i Dt; t þ DtÞ are calculated from Eq. (8) and then they are propagated to neighbouring lattices. Finally, the new temperature is computed from Eq.…”
Section: Heat Flux Boundary Conditionmentioning
confidence: 99%
See 1 more Smart Citation
“…Next, the new particle distribution functions g i ðrþ ẽ i Dt; t þ DtÞ are calculated from Eq. (8) and then they are propagated to neighbouring lattices. Finally, the new temperature is computed from Eq.…”
Section: Heat Flux Boundary Conditionmentioning
confidence: 99%
“…LBM has lots of advantages such as providing a physical meaning of a problem, simple computer implementation as well as parallel programming, easy employing for complicated geometries and boundary conditions and accurate results [2,6,7]. Combined conduction and radiation heat transfer problems have been used in a variety of practical applications [8]. Among them, the flux boundary condition problems have been attended to in important fields of research such as the furnace design, solidification-melting of semitransparent materials, fire protection systems, porous materials, glass fabrication, electronic devises and power plants [9].…”
Section: Introductionmentioning
confidence: 99%
“…Based on the conjugate gradient method, the following iteration process is used for the estimation of q″(t) [54]:…”
Section: Conjugate Gradient Methodsmentioning
confidence: 99%
“…Several optimization methods have been extensively developed to solve this problem, such as gradient method [20], conjugate gradient method [21], [22], Levenberg-Marquardt method (LM) [18], [23], Cao method [24], and Lanbweber method [25]. The basic concept of these optimization methods is to update h for each iteration via the gradient of cost function or the value of cost function.…”
Section: Identification Of Unknown Parameters In Continuous Castmentioning
confidence: 99%