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

  • Taibai Fu School of Mathematics and Statistics, Central South University
  • Yong Du State Key Laboratory of Powder Metallurgy, Central South University
  • Zhoushun Zheng School of Mathematics and Statistics, Central South University
  • Yingbiao Peng College of Metallurgy and Materials Engineering, Hunan University of Technology
  • Bo Jin State Key Laboratory of Powder Metallurgy, Central South University
  • Yuling Liu State Key Laboratory of Powder Metallurgy, Central South University
  • Changfa Du School of Mathematics and Statistics, Central South University
  • Shuhong Liu State Key Laboratory of Powder Metallurgy, Central South University
  • Chenying Shi State Key Laboratory of Powder Metallurgy, Central South University
  • Jiong Wang State Key Laboratory of Powder Metallurgy, Central South University

Abstract


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 detect the 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.

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Published
2020/09/15
How to Cite
Fu, T., Du, Y., Zheng, Z., Peng, Y., Jin, B., Liu, Y., Du, C., Liu, S., Shi, C., & Wang, J. (2020). An effective algorithm to identify the miscibility gap in a binary substitutional solution phase. Journal of Mining and Metallurgy, Section B: Metallurgy, 56(2), 183-191. Retrieved from https://aseestant.ceon.rs/index.php/jmm/article/view/23187
Section
Original Scientific Paper