2013
DOI: 10.1016/j.commatsci.2012.02.003
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Modelling of phase diagrams and thermodynamic properties using Calphad method – Development of thermodynamic databases

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Cited by 110 publications
(60 citation statements)
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“…The CALPHAD approach is semi-empirical method based on the sequential modelling of the thermodynamic properties of multicomponent systems, which needs basic amount of experimental data for creation of robust, consistent and reliable set of thermodynamic parameters describing simple systems. Such data allows extrapolation of phase diagrams and thermodynamic properties modelling to regions not studied experimentally and/or to more complex systems [31]. The detailed and very comprehensive description of the CALPHAD method was published by Saunders and Miodownik [32] and by Lukas et al [33].…”
Section: Thermo-calcmentioning
confidence: 99%
“…The CALPHAD approach is semi-empirical method based on the sequential modelling of the thermodynamic properties of multicomponent systems, which needs basic amount of experimental data for creation of robust, consistent and reliable set of thermodynamic parameters describing simple systems. Such data allows extrapolation of phase diagrams and thermodynamic properties modelling to regions not studied experimentally and/or to more complex systems [31]. The detailed and very comprehensive description of the CALPHAD method was published by Saunders and Miodownik [32] and by Lukas et al [33].…”
Section: Thermo-calcmentioning
confidence: 99%
“…As software packages are available, e.g., Thermo-Calc, MTDA-TA, Pandat and FactStage, modeling methods, based on semi-empirical approaches can provide significant economic benefits. Time and cost consuming experiments can be reduced and fast and reliable material processing simulations can be achieved [3,4].…”
Section: Prediction Of Phase Diagramsmentioning
confidence: 99%
“…Furthermore, interpolations and extrapolations can be applied in a thermodynamically correct manner [5]. Nonetheless, the existence of reliable and consistent thermodynamic pure-component data are crucial for the existent modeling methods and can be found in databases like the Gmelin database, owned by the German Chemical Society [3].…”
Section: Prediction Of Phase Diagramsmentioning
confidence: 99%
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“…Fe 3 B phase. In order to predict ternary system one has to properly assess binary one first [5]. Therefore, this work is focused on the Fe-B system which is calculated using different approaches.…”
Section: Introductionmentioning
confidence: 99%