Applications of Computational Thermodynamics in Materials Science Courses

Roman Čička

doi:10.2478/rput-2022-0010

.blurhash-client-img { display: none !important; }

Applications of Computational Thermodynamics in Materials Science Courses

Research Papers Faculty of Materials Science and Technology Slovak University of Technology

Volume 30 (2022): Issue 51 (November 2022)

By: Roman Čička

Open Access

|Dec 2022

Abstract

Computational thermodynamics is an important tool used to predict the phase equilibria, phase compositions, transformation temperatures, solubility limits and many thermodynamic properties of multi-component materials. In this contribution, the possibilities of how to introduce computational thermodynamics into the university Materials Science courses using Thermo-Calc software are described. Also, the application of computational thermodynamics in materials research and development of new materials is shortly outlined.

References

[1] GASKELL, D.R., LAUGHLIN, D.E. 2018. Introduction to the Thermodynamics of Materials. 6th ed. CRC Press, Taylor and Francis Group. ISBN 978-1-4987-5700-3.
Search in Google Scholar Back to article
[2] LUKAS, H.L., FRIES, S.G., SUNDMAN, B. 2007. Computational Thermodynamics. The CALPHAD Method. 1st ed. Cambridge University Press. ISBN 978-0-521-86811-2.
Search in Google Scholar Back to article
[3] https://thermocalc.com [Accessed: 09-2022]
Search in Google Scholar Back to article
[4] https://computherm.com/software [Accessed: 09-2022]
Search in Google Scholar Back to article
[5] https://www.factsage.com [Accessed: 09-2022]
Search in Google Scholar Back to article
[6] http://www.opencalphad.com [Accessed: 09-2022]
Search in Google Scholar Back to article
[7] KAUFMAN, L., AGREN, J. 2014. CALPHAD, first and second generation – Birth of the materials genome. Scripta Materialia, 70, pp. 3 – 6.10.1016/j.scriptamat.2012.12.003
Search in Google Scholar Back to article
[8] PROVATAS, N., PINOMAA, T., OFORI-OPOKU, N. 2022. Quantitative Phase Field Modelling of Solidification. 1st ed. CRC Press, Taylor and Francis Group. ISBN 978-0-367-76857-7.10.1201/9781003204312-1
Search in Google Scholar Back to article
[9] KOZESCHNIK, E. 2013. Modeling Solid-State Precipitation. 1st ed. Momentum Press, LLC. ISBN 978-1-60650-062-0.
Search in Google Scholar Back to article
[10] BINER, S.B. 2017. Programming Phase-Field Modeling. 1st ed. Springer International Publishing AG. ISBN 978-3-319-41194-1.
Search in Google Scholar Back to article
[11] https://www.questek.com [Accessed: 09-2022]
Search in Google Scholar Back to article

DOI: https://doi.org/10.2478/rput-2022-0010 | Journal eISSN: 1338-0532

Journal RSS Feed

Language: English

Page range: 1 - 8

Submitted on: Aug 26, 2022

Accepted on: Oct 29, 2022

Published on: Dec 24, 2022

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 2 issues per year

Keywords:

Computational thermodynamics,

Related subjects:

Introductions and overviews,

Engineering, other

© 2022 Roman Čička, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 30 (2022): Issue 51 (November 2022)Next article