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Ramirez-Lopez A.,Autonomous University of Mexico City | Ramirez-Lopez A.,National Polytechnic Institute of Mexico | Ramirez-Lopez A.,Institute Technologic Autonomous of Mexico | Aguilar-Lopez R.,Autonomous University of Mexico City | And 3 more authors.
International Journal of Minerals, Metallurgy and Materials | Year: 2010

The factors involved in simulating the continuous casting process of steel and the effects of the factors on the thermal behavior were investigated. The numerical methods and the influence of some assumptions were also analyzed, such as nodes used to discretize the steel in array size and computing time to obtain good approaches. The results show that some of these factors are related with the design of the continuous casting plant (CCP), such as geometrical configuration, and the operating conditions, such as water flow rate, heat removal coefficient in the mold, casting times, and casting speed in the strand, which affect the heat removal conditions over the temperature and solidification profiles. © University of Science and Technology Beijing and Springer-Verlag Berlin Heidelberg 2010. Source


Ramirez-Lopez A.,Autonomous University of Mexico City | Ramirez-Lopez A.,National Polytechnic Institute of Mexico | Ramirez-Lopez A.,Institute Technologic Autonomous of Mexico | Soto-Cortes G.,Autonomous University of Mexico City | And 2 more authors.
International Journal of Minerals, Metallurgy and Materials | Year: 2011

The development of some computational algorithms based on cellular automaton was described to simulate the structures formed during the solidification of steel products. The algorithms described take results from the steel thermal behavior and heat removal previously calculated using a simulator developed by present authors in a previous work. Stored time is used for displaying the steel transition from liquid to mushy and solid. And it is also used to command computational subroutines that reproduce nucleation and grain growth. These routines are logically programmed using the programming language C++ and are based on a simultaneous solution of numerical methods (stochastic and deterministic) to create a graphical representation of different grain structures formed. The grain structure obtained is displayed on the computer screen using a graphical user interface (GUI). The chaos theory and random generation numbers are included in the algorithms to simulate the heterogeneity of grain sizes and morphologies. © 2011 University of Science and Technology Beijing and Springer-Verlag Berlin Heidelberg. Source


Ramirez-Lopez A.,Autonomous University of Mexico City | Ramirez-Lopez A.,National Polytechnic Institute of Mexico | Ramirez-Lopez A.,Institute Technologic Autonomous of Mexico | Aguilar-Lopez R.,Autonomous University of Mexico City | And 3 more authors.
International Journal of Minerals, Metallurgy and Materials | Year: 2010

This work is focused on the development of computational algorithms to create a simulator for solving the heat transfer during the continuous casting process of steel. The temperatures and the solid shell thickness profiles were calculated and displayed on the screen for a billet through a defined continuous casting plant (CCP). The algorithms developed to calculate billet temperatures, involve the solutions of the corresponding equations for the heat removal conditions such as radiation, forced convection, and conduction according to the billet position through the CCP. This is done by a simultaneous comparison with the kinematics model previously developed. A finite difference method known as Crank-Nicholson is applied to solve the two-dimensional computational array (2D model). Enthalpy (HI,J) and temperature (TI,J) in every node are updated at each step time. The routines to display the results have been developed using a graphical user interface (GUI) in the programming language C++. Finally, the results obtained are compared with those of industrial trials for the surface temperature of three steel casters with different plant configurations in different casting conditions. © University of Science and Technology Beijing and Springer-Verlag Berlin Heidelberg 2010. Source

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