2002
DOI: 10.1080/10407790260233556
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A New Model of Radiative Image Formation Used in Visualization of 3-D Temperature Distributions in Large-Scale Furnaces

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Cited by 26 publications
(10 citation statements)
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“…where A 0 is matrix coefficient and related with the installation and imaging parameters of the image detectors, and the radiative properties of medium [14]. A decoupled reconstruction method combining optimization methodology and regularization methodology was proposed to simultaneously reconstruct the temperature distribution and the averaged absorption and scattering coefficient of medium [15].…”
Section: Measurement Principlementioning
confidence: 99%
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“…where A 0 is matrix coefficient and related with the installation and imaging parameters of the image detectors, and the radiative properties of medium [14]. A decoupled reconstruction method combining optimization methodology and regularization methodology was proposed to simultaneously reconstruct the temperature distribution and the averaged absorption and scattering coefficient of medium [15].…”
Section: Measurement Principlementioning
confidence: 99%
“…In order to simultaneously reconstruct the temperature distribution and the radiative properties (absorption coefficient j and scattering coefficient r) of the particulate medium in furnaces from radiative images, a radiative temperature imaging model was proposed to relate flame temperature image T m with the temperature distribution T in the furnace as below [14] T…”
Section: Measurement Principlementioning
confidence: 99%
“…. ; T 4 TC;2M Þ T ; and the relationship between matrixes A and A 0 was also given in [21]. As shown in Eq.…”
Section: Reconstruction Of Temperatures and Radiative Properties 277mentioning
confidence: 99%
“…Then the temperature image T TC on the boundary is further related to the temperature distribution T in the system by a radiative temperature imaging model, which has been described in [21], as follows:…”
Section: Reconstruction Of Temperatures and Radiative Properties 277mentioning
confidence: 99%
“…Under the condition that the radiative properties are given, Li et al [6][7][8], Siewert et al [9,10], and Liu et al [11,12] have reconstructed temperature profiles in plane-parallel, cylindrical, and rectangular media by inverse radiative analysis from the radiative intensities exiting the boundaries, respectively. Zhou et al have proposed radiative imaging models [13,14], which established a liner relationship between 3-D temperature distributions in furnaces and radiative temperature images captured by CCD cameras, and then the 3-D temperature distributions can be reconstructed by the Tikhonov regularization method [15]. The reliability of the method also has been proved in experimental investigations on visualization of 2-D and 3-D temperature distributions inside pulverized coal-fired furnaces [16,17].…”
Section: Introductionmentioning
confidence: 97%