| Estimation of thermodynamic parameters in liquid metal based on predictive model for surface tension of liquid alloys Masashi Nakamoto1; 1OSAKA UNIVERSITY, Suita, Japan; PAPER: 423/Iron/Invited (Oral) SCHEDULED: 14:00/Sat. 26 Oct. 2019/Ambrosia B (77/RF) ABSTRACT: In high temperature material processes like iron & steelmaking, the thermodynamic parameters in liquid metals are the crucial guidelines for optimizing and improving the processes. Therefore, the thermodynamic data have been aggressively collected by a variety of sophisticated experimental techniques so far[1,2]. In addition, several researchers[3,4] have developed the estimation model for thermodynamic parameters in parallel with experimental researches because of the limitation of experimental data caused by difficulty of experiment at high temperature. In the present work, the estimation method for the activity coefficient of element in liquid mental is proposed based on a predictive model for surface tension of liquid alloys with Butler’s equation[5] in order to realize the enlargement of thermodynamic data. The equation for calculating an activity coefficient of solute in infinite dilute liquid metal from the values of surface tension for liquid alloy is derived by focusing on infinite dilute liquid metal solution and modifying Butler’s equation. The estimation results in this work give a reasonable reproducibility in comparison with the literature values. References: [1] The 19th Committee on Steelmaking, The Japan Society for the Promotion of Science, Steelmaking Data Source Book, Gordon and Breach Science Publishers, New York (1998). [2] Ed. by M. Hino and K. Ito, Thermodynamic data for steelmaking, Tohoku Univ., Sendai (2010). [3] T. Tanaka, N. A. Gokcen, Z. Morita and T. Iida, Z. Metallkd, 84 (1993), 192-200. [4] F. Wang, X. Li, Q. Han and Z. Zhang, Metall. Mater. Trans. B, 28B (1997), 109-113. [5] J.A.V. Butler, Proc. Roy. Soc., A135 (1932), 348-375. |
