Production Supervisor in Metallurgical Peruana SA - MEPSA.

Descripción del Articulo

Empirical model of the cooling liquid steel spoon 15TM: an industrial perspective It seeks to develop a mathematical model that predicts the decay of the temperature of the liquid steel spoon 15 TM. The shots were made in temperature castings production, measuring the temperature after excoriated an...

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Detalles Bibliográficos
Autor: Espinoza Eche, Jorge
Formato: artículo
Fecha de Publicación:2012
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revista UNMSM - IIGEO
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/3755
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/iigeo/article/view/3755
Nivel de acceso:acceso abierto
Materia:coding samples
soil contamination
RXD equipment
mining deposits concentrated
codificación de muestras
contaminación de suelos
equipo RXD
depósitos de concentrados mineros
Descripción
Sumario:Empirical model of the cooling liquid steel spoon 15TM: an industrial perspective It seeks to develop a mathematical model that predicts the decay of the temperature of the liquid steel spoon 15 TM. The shots were made in temperature castings production, measuring the temperature after excoriated and before emptying the holding furnace, the time was also recorded between the two jacks temperature. Then the data obtained was analyzed to obtain the parameters of the particular model (K and T0). The derivation of the model was obtained from an Ordinary Differential Equation (ODE) homogeneous. Prognostic value of the model obtained with new values ​​measured temperature was compared. To make the prognosis of two different values ​​of temperature T0, one with a constant value of T0, as shown in the model found, and another with T0, a variable that was numerically equal to the temperature after excoriated were used, both forecasts were compared with various indicators. Which influence the value T0 in the model is determined. Stability parameter K by t-student test for the two sets of data was evaluated and finally the total error of temperature measurement considering the forecast error and the error of the equipment used is estimated.
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