1997
DOI: 10.1007/s11663-997-0095-2
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Calculation of solidification-related thermophysical properties for steels

Abstract: Special algorithms have been developed to calculate important solidification-related thermophysical properties: enthalpy and enthalpy-related data (i.e., specific and latent heat), density, and thermal conductivity for low-alloyed and stainless steels. The algorithms are heavily based on the use of earlier developed phase transformation models, an interdendritic solidification model (IDS), and an austenite decomposition model (ADC), which solve, as a function of temperature, the phase fractions and composition… Show more

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Cited by 187 publications
(94 citation statements)
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“…It is interesting to note that the MTMR of heat 3 is higher than MTMR of heat 4 at the mold exit whereas the depth of crack of heat 3 (12.6 mm) is deeper than its depth of heat 4 (9.2 mm) [16]. This is due to the effect of position of neutral axis on the mechanical stress distribution in the coherent shell [33]. Another reason comes from examination of the computed MTMR histories where the effect of surface reheating reduces the growth rate of MTMR based upon the reheating degree as shown in Figure 5(d) [6,15,44].…”
Section: Casementioning
confidence: 95%
See 1 more Smart Citation
“…It is interesting to note that the MTMR of heat 3 is higher than MTMR of heat 4 at the mold exit whereas the depth of crack of heat 3 (12.6 mm) is deeper than its depth of heat 4 (9.2 mm) [16]. This is due to the effect of position of neutral axis on the mechanical stress distribution in the coherent shell [33]. Another reason comes from examination of the computed MTMR histories where the effect of surface reheating reduces the growth rate of MTMR based upon the reheating degree as shown in Figure 5(d) [6,15,44].…”
Section: Casementioning
confidence: 95%
“…[28] whereas the functions for calculating the equilibrium partition, diffusion coefficients and thermo-physical properties are illustrated in Refs. [29][30][31][32][33]. The temperature-dependent conductivity and enthalpy functions for multi-component alloying elements or impurities for plain steels and their different phases are fitted from measured data compiled by Harste [32].…”
Section: Introductionmentioning
confidence: 99%
“…Los términos ρ, C p , y κ representan respectivamente la densidad, el calor específico y la conductividad térmica del material, todas ellas consideradas dependientes de la temperatura usando la metodología para el cálculo de propiedades termo-físicas de acuerdo a Miettinen (1997).…”
Section: Modelo Acoplado Temperaturas/oxidaciónunclassified
“…...... (12) where a×b is the size of billet, le is the effective mold length, Q is mold water flow, Tin is the inflow temperature of mold water and Tout is the outflow temperature of mold water. The temperatures are obtained in different casting speed, so A, B can be evaluated by least square method.…”
Section: Model Calibrationmentioning
confidence: 99%
“…It is assumed that thermal properties ρ, ceff and keff are functions of T and of steel components. [10][11][12] Considering the symmetry, one quarter of the billet slice (transverse cross section) is selected to be the calculation domain. Each slice starts at the meniscus (assumed flat) and moves along the strand through the mold, secondary cooling zones (SCZ) and the air cooling zone sequentially.…”
Section: Introductionmentioning
confidence: 99%