@Article{icces.2023.09609,
AUTHOR = {Qingguo Liu, Umut Hanoglu, Božidar Šarler},
TITLE = {Simulation of Reheating Furnace for Steel Billets by a Meshless Method},
JOURNAL = {The International Conference on Computational \& Experimental Engineering and Sciences},
VOLUME = {27},
YEAR = {2023},
NUMBER = {2},
PAGES = {1--1},
URL = {http://www.techscience.com/icces/v27n2/54154},
ISSN = {1933-2815},
ABSTRACT = {A simulation of reheating furnace in a steel production line where the steel billets are heated from room 
temperature up to 1200 ˚C, is carried out using a novel meshless solution procedure. The reheating of the 
steel billets before the continuous hot-rolling process should be employed to dissolve alloying elements as 
much as possible and redistribute the carbon. In this work, governing equations are solved by the local radial 
basis function collocation method (LRBFCM) in a strong form with explicit time-stepping. The solution of 
the diffusion equations for the temperature and carbon concentration fields is formulated on a twodimensional slice. The concentration equation is strongly coupled with the temperature equation through 
the temperature-dependent diffusion coefficient. The simulation includes the solution of these two coupled 
equations. The temperature field is solved by considering the position in the furnace and the radiative and 
convective heat fluxes on the boundaries. Ray tracing procedure is employed to determine the radiative heat 
flux. The diffusion of carbon is calculated without decarbonisation at the boundaries. The initial carbon 
macrosegregation is provided from the continuous casting model. A comprehensive sensitivity study on the 
influence of the distance between the billets and the total time of the billet in the reheating furnace is 
performed. A relation to the energy consumption and the product quality is provided from these simulations. 
This allows for automatic optimisation of the furnace's productivity by coupling the described model with 
artificial intelligence. For the first time, LRBFCM is successfully demonstrated for solving such a complex 
industrial problem.},
DOI = {10.32604/icces.2023.09609}
}