Abstract This paper presents a reconstruction model of three-dimensional temperature distribution in furnace based on radiative energy images captured by charge-coupled device (CCD) cameras within the visible wavelength range. Numerical simulation case was used in this study and a zigzag eccentric temperature distribution was assumed to verify the model. Least square QR-factorization (LSQR) method was introduced to deal with reconstruction equation. It is found that the reconstructed temperature distributions in low-temperature areas had some fluctuations and high-temperature areas were reconstructed well. The whole reconstruction relative error was mainly due to errors in low-temperature areas and the relative error for highest-temperature reconstruction was quite small.
Received: 07 May 2007
Revised: 12 October 2007
Accepted manuscript online:
Fund: Project supported
by the State Key Program of National Natural Science Foundation of
China (Grant No 60534030) and Program for Changjiang Scholars and
Innovative Research Team in University (Grant No IRT0434).
Cite this article:
Liu Dong(刘冬), Wang Fei(王飞), Huang Qun-Xing(黄群星), Yan Jian-Hua(严建华), Chi Yong(池涌), and Cen Ke-Fa(岑可法) Simulation study on reconstruction model of three-dimensional temperature distribution within visible range in furnace 2008 Chin. Phys. B 17 1312
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
