Importance of Interfacial Energy in Precipitation Modeling Using Computational Thermodynamics Techniques

Silva, Andre Costa e

doi:10.1007/978-3-319-48127-2_167

Cited by 4 publications

(1 citation statement)

References 31 publications

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“…Medina and co-workers, however, made the coefficients A and B in Equation 3 also dependent on the solubility product (or on the supersaturation), deviating significantly from classical nucleation theory. It is known that present precipitation simulation modeling software still rely on the adjustment of some hard to measure properties, such as surface energy [35]. However,one could argue that, by following as close as possible theoretical models, the chances of having models that will properly extrapolate and offer good development perspective in the future might be better than e introducing additional empirical factors in fundamentally sound formulas.…”

Section: Examples Of Comparison Of Calculationsmentioning

confidence: 99%

A Brief Thermodynamic Evaluation of Precipitation Models in Microalloyed Steels

Silva¹

2018

ABM Proceedings

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Resumo The knowledge of the amount of microalloying elements in solution and precipitated during processing of steels is very important to properly design steel and thermomechanical processing (TMP). Models have been formulated to describe the precipitation phenomena during TMP in detail. Some of these models use simple solubility products, however, together with complex phenomenological equations to describe the changes in the steel during TMP. In this work two of these simple solubility products frequently used are compared with results calculated with computational thermodynamics. The results suggest that they are not able to predict the same values as those calculated by computational thermodynamics. If the later are correct, the simple solubility products are probably introducing excessive "correcting" factors in the phenomenological equations in order to reproduce experimental results. Furthermore, if this is the case, the ability of the models to extrapolate, a basic condition in alloy design, can be questioned..

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Section: Examples Of Comparison Of Calculationsmentioning

confidence: 99%

A Brief Thermodynamic Evaluation of Precipitation Models in Microalloyed Steels

Silva¹

2018

ABM Proceedings

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TaC Precipitation Kinetics During Cooling of Co−Re‐Based Alloys

et al. 2021

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CobaltÀrhenium (CoÀRe) alloys are developed for high-temperature applications at %1200 C and are strengthened by dispersion of nanosized tantalum carbide (TaC) precipitates. Herein, the precipitation behavior during cooling from supersolution depending on the cooling rate and the addition of chromium is presented. The phase composition (matrix phases and TaC) is analyzed from the wide-angle neutron diffraction patterns measured in situ during temperature cycling. The precipitation of nanosized TaC particles is measured by in situ and ex situ neutron and X-ray small-angle scattering. The in situ measurements are used to extract the temperature-dependent volume fraction of the precipitates; the final size distribution after cooling is extracted from the ex situ measurements. A KampmannÀWagner's numerical (KWN) model is adapted to isochronal cooling processes. The in situ measurements give the unique possibility to calibrate the model parameters, whereas the ex situ measurements are used to assess the model predictions.

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