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Titolo:
Visualization of three-dimensional temperature distributions a large-scalefurnace via regularized reconstruction from radiative energy images: numerical studies
Autore:
Zhou, HC; Han, SD; Sheng, F; Zheng, CG;
Indirizzi:
Huazhong Univ Sci & Technol, Natl Lab Coal Combust, Wuhan 430074, Peoples R China Huazhong Univ Sci & Technol Wuhan Peoples R China 430074 Peoples R China
Titolo Testata:
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
fascicolo: 4, volume: 72, anno: 2002,
pagine: 361 - 383
SICI:
0022-4073(20020215)72:4<361:VOTTDA>2.0.ZU;2-D
Fonte:
ISI
Lingua:
ENG
Soggetto:
ILL-POSED PROBLEMS; EMISSION-SPECTROSCOPY; SYSTEM; ALGORITHM; FLAMES;
Keywords:
three-dimensional temperature distributions; radiative energy images; ill-posed problem; regularization; furnaces;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
35
Recensione:
Indirizzi per estratti:
Indirizzo: Zhou, HC Huazhong Univ Sci & Technol, Natl Lab Coal Combust, Wuhan 430074,Peoples R China Huazhong Univ Sci & Technol Wuhan Peoples R China 430074 China
Citazione:
H.C. Zhou et al., "Visualization of three-dimensional temperature distributions a large-scalefurnace via regularized reconstruction from radiative energy images: numerical studies", J QUAN SPEC, 72(4), 2002, pp. 361-383

Abstract

In this paper, the possibility of visualization of three-dimensional (3-D)temperature distributions in large-scale boiler furnaces from radiative energy images captured by multiple charge-coupled device (CCD) cameras mounted around the furnace is studied numerically. For the calculation of the radiative energy image formation, a fast algorithm proposed by the authors forpinhole imaging is used in this paper, which is based on the Monte Carlo method and combined with a concept of angular factor effective for image formation. This algorithm is applicable for the emitting, absorbing, and isotropic scattering medium. For the inversion of the 3-D temperature distributions which is an ill-posed problem, a modified Tikhonov regularization method is improved, where the finite difference regularizer is defined and can be used in 3-D cases, and the optimal regularization parameter is suggested to be selected by using a post-treatment method. For a 3-D unimodal temperature distribution, the numerical simulation results show that the reconstruction errors for the 3-D temperature distribution can be maintained at levels similar to the measurement error and the visualization quality of the temperature distribution is satisfactory. For a kind of bimodal temperature distribution, the reconstruction errors are higher than those for the unimodal distribution, but the bimodal feature of the temperature distribution can also be reproduced clearly. (C) 2001 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 22/01/20 alle ore 06:26:47