Reconstruction of Three-dimensional Temperature Distribution with Radiative Image by Monte Carlo Method in Blast Furnace Raceway

Abstract

This paper presented reconstruction of three-dimensional temperature distribution of raceway from radiative images based on Monte Carlo method and image processing techniques in the blast furnace. The Monte Carlo method was introduced to describe radiative heat transfer of raceway for its efficiency. Color CCD camera was used to obtain radiative information in visible spectrum of raceway. An efficient numerical inverse reconstruction model was established by the relationship between three-dimensional thermal radiation and two-dimensional radiative image. Because the reconstruction was an ill-posed inverse problem, a hybrid Tikhonov regularization method was used to determine the meaningful reconstruction. The numerical simulations were utilized for checking the validity of inverse reconstruction model before each experimental reconstruction. Experiment was done to reconstruct three-dimensional temperature distribution of 2500 m³ blast furnace raceway. Ultimately, this method could restore temperature distribution of the raceway effectively. Moreover, computational fluid dynamics (CFD) technology was applied to simulate combustion process and obtain temperature distribution of blast furnace raceway, which was compared with the reconstructed temperature distribution. All results show that the temperature distribution of raceway can be reconstructed reasonably using Monte Carlo method and image processing techniques.