An effective algorithm to identify the miscibility gap in a binary substitutional solution phase

In the literature, no detailed description is reported about how to detect if a miscibility gap exists in terms of interaction parameters analytically. In this work, a method to determine the likelihood of the presence of a miscibility gap in a binary substitutional solution phase is proposed in ter...

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Main Authors: Fu T., Du Y., Zheng Z.-S., Peng Y.-B., Jin B., Liu Y.-B, Du C.-F., Liu S.-H., Shi C.-Y., Wang J.
Format: Article
Language:English
Published: University of Belgrade, Technical Faculty, Bor 2020-01-01
Series:Journal of Mining and Metallurgy. Section B: Metallurgy
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Online Access:http://www.doiserbia.nb.rs/img/doi/1450-5339/2020/1450-53392000004F.pdf
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author Fu T.
Du Y.
Zheng Z.-S.
Peng Y.-B.
Jin B.
Liu Y.-B
Du C.-F.
Liu S.-H.
Shi C.-Y.
Wang J.
author_facet Fu T.
Du Y.
Zheng Z.-S.
Peng Y.-B.
Jin B.
Liu Y.-B
Du C.-F.
Liu S.-H.
Shi C.-Y.
Wang J.
author_sort Fu T.
collection DOAJ
description In the literature, no detailed description is reported about how to detect if a miscibility gap exists in terms of interaction parameters analytically. In this work, a method to determine the likelihood of the presence of a miscibility gap in a binary substitutional solution phase is proposed in terms of interaction parameters. The range of the last interaction parameter along with the former parameters is analyzed for a set of self-consistent parameters associated with the miscibility gap in assessment process. Furthermore, we deduce the first and second derivatives of Gibbs energy with respect to composition for a phase described with a sublattice model in a binary system. The Al-Zn and Al-In phase diagrams are computed by using a home-made code to verify the efficiency of these techniques. The method to detect the miscibility gap in terms of interaction parameters can be generalized to sublattice models. At last, a system of equations is developed to efficiently compute the Gibbs energy curve of a phase described with a sublattice model.
format Article
id doaj-art-acff8a86a380436781bbf09eb826ae21
institution Kabale University
issn 1450-5339
2217-7175
language English
publishDate 2020-01-01
publisher University of Belgrade, Technical Faculty, Bor
record_format Article
series Journal of Mining and Metallurgy. Section B: Metallurgy
spelling doaj-art-acff8a86a380436781bbf09eb826ae212025-02-02T16:37:46ZengUniversity of Belgrade, Technical Faculty, BorJournal of Mining and Metallurgy. Section B: Metallurgy1450-53392217-71752020-01-0156218319110.2298/JMMB190916004F1450-53392000004FAn effective algorithm to identify the miscibility gap in a binary substitutional solution phaseFu T.0Du Y.1Zheng Z.-S.2Peng Y.-B.3Jin B.4Liu Y.-B5Du C.-F.6Liu S.-H.7Shi C.-Y.8Wang J.9School of Mathematics and Statistics, Central South University, Changsha, Hunan, ChinaState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, ChinaSchool of Mathematics and Statistics, Central South University, Changsha, Hunan, ChinaCollege of Metallurgy and Materials Engineering, Hunan University of Technology, Zhuzhou, Hunan, ChinaState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, ChinaState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, ChinaSchool of Mathematics and Statistics, Central South University, Changsha, Hunan, ChinaState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, ChinaState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, ChinaState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, ChinaIn the literature, no detailed description is reported about how to detect if a miscibility gap exists in terms of interaction parameters analytically. In this work, a method to determine the likelihood of the presence of a miscibility gap in a binary substitutional solution phase is proposed in terms of interaction parameters. The range of the last interaction parameter along with the former parameters is analyzed for a set of self-consistent parameters associated with the miscibility gap in assessment process. Furthermore, we deduce the first and second derivatives of Gibbs energy with respect to composition for a phase described with a sublattice model in a binary system. The Al-Zn and Al-In phase diagrams are computed by using a home-made code to verify the efficiency of these techniques. The method to detect the miscibility gap in terms of interaction parameters can be generalized to sublattice models. At last, a system of equations is developed to efficiently compute the Gibbs energy curve of a phase described with a sublattice model.http://www.doiserbia.nb.rs/img/doi/1450-5339/2020/1450-53392000004F.pdfcomputational thermodynamicsequilibrium calculationsphase diagrammiscibility gapalgorithm
spellingShingle Fu T.
Du Y.
Zheng Z.-S.
Peng Y.-B.
Jin B.
Liu Y.-B
Du C.-F.
Liu S.-H.
Shi C.-Y.
Wang J.
An effective algorithm to identify the miscibility gap in a binary substitutional solution phase
Journal of Mining and Metallurgy. Section B: Metallurgy
computational thermodynamics
equilibrium calculations
phase diagram
miscibility gap
algorithm
title An effective algorithm to identify the miscibility gap in a binary substitutional solution phase
title_full An effective algorithm to identify the miscibility gap in a binary substitutional solution phase
title_fullStr An effective algorithm to identify the miscibility gap in a binary substitutional solution phase
title_full_unstemmed An effective algorithm to identify the miscibility gap in a binary substitutional solution phase
title_short An effective algorithm to identify the miscibility gap in a binary substitutional solution phase
title_sort effective algorithm to identify the miscibility gap in a binary substitutional solution phase
topic computational thermodynamics
equilibrium calculations
phase diagram
miscibility gap
algorithm
url http://www.doiserbia.nb.rs/img/doi/1450-5339/2020/1450-53392000004F.pdf
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