Skip to main content
Log in

Comparison of Different Calculation Methods of the New Generation Geometric Model in Predicting the Density of NaCl–MgCl2–CaCl2 Systems

  • Published:
Journal of Solution Chemistry Aims and scope Submit manuscript

Abstract

The new generation geometric model has been proposed to calculate the thermodynamic properties for multi-component systems in terms of the properties of their corresponding binaries, in which the “similarity coefficient” ξ has been introduced based on the “deviation sum of squares”, η 1. This function is the key conception of the new generation geometrical model. A different η function besides “deviation sum of squares” has been mentioned in the previous papers. However, discussion of the effect of η in the prediction is scarce. In this paper the density data of molten NaCl–MgCl2–CaCl2 systems were predicted via three different η parameters. It is found that different kinds of η functions yield different calculation results. The results show that the mean relative errors of three different η parameters were no more than 0.75 %, which is in an acceptable range. Therefore, the two methods proposed in this paper could be used for computing physicochemical properties. Three other η functions were also provided and discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Chou, K.C.: A general solution model for predicting ternary thermodynamic properties. Calphad 19, 315–325 (1995)

    Article  CAS  Google Scholar 

  2. Chou, K.C., Wei, S.K.: A new generation solution model for predicting thermodynamic properties of a multicomponent system from binaries. Metall. Mater. Trans. B 28, 439–445 (1997)

    Article  Google Scholar 

  3. Živković, D., Du, Y., Talijan, N., Kostov, A., Balanović, L.: Calculation of thermodynamic properties in liquid phase for ternary Al–Ni–Zn alloys. Trans. Nonferrous Met. Soc. China 22, 3059–3065 (2012)

    Article  Google Scholar 

  4. Chen, Z., Liu, J., Yu, Z., Chou, K.C.: Electrical conductivity of CaCl2–KCl–NaCl system at 1080 K. Thermochim. Acta 543, 107–112 (2012)

    Article  CAS  Google Scholar 

  5. Hindler, M., Mikula, A.: Calorimetric investigations of liquid gold–antimony–tin alloys. Int. J. Mater. Res. 103, 858–865 (2012)

    Article  CAS  Google Scholar 

  6. Nikolaev, V., Satgaraev, A., Sultanova, R.: Predicting property isotherms of ternary mixtures on isotherms of the binary mixtures, presented by a non-stoichiometric model. J. Solution Chem. 41, 953–964 (2012)

    Article  CAS  Google Scholar 

  7. Zeng, H.H., Xiang, X.Z., Lei, S.M.: Formation enthalpies of yellow gold alloys with re addition calculated with Chou’ models. Adv. Mater. Res. 476, 89–93 (2012)

    Article  Google Scholar 

  8. Chou, K.C., Austin Chang, Y.: A study of ternary geometrical models. Ber Bunsen. Phys. Chem. 93, 735–741 (1989)

    Article  CAS  Google Scholar 

  9. Iloukhani, H., Khanlarzadeh, K.: Physicochemical properties of quaternary systems and comparison of different geometrical models. J. Chem. Eng. Data 56, 4244–4252 (2011)

    Article  CAS  Google Scholar 

  10. Zhang, G.H., Wang, L.J., Chou, K.C.: A comparison of different geometrical models in calculating physicochemical properties of quaternary systems. Calphad 34, 504–509 (2010)

    Article  CAS  Google Scholar 

  11. Kohler, F.: Estimation of the thermodynamic data for a ternary system from the corresponding binary systems. Monatsh. Chem. 91, 738–740 (1960)

    Article  CAS  Google Scholar 

  12. Muggianu, Y., Gambino, M., Bros, J.: A new solution model. J. Chim. Phys. 72, 83–88 (1965)

    Google Scholar 

  13. Zhang, G.H., Chou, K.C.: General formalism for new generation geometrical model: application to the thermodynamics of liquid mixtures. J. Solution Chem. 39, 1200–1212 (2010)

    Article  CAS  Google Scholar 

  14. Chou, K.C.: New generation solution geometrical model and its further development. Acta Metall. Sinica 33, 126–132 (1997). (in Chinese)

    Google Scholar 

  15. Grjotheim, K., Holm, J., Lillebuen, B., Øye, H.: Densities and excess molar volumes of binary and ternary melts of MgCl2, CaCl2 and AlkCl. Trans. Faraday Soc. 67, 640–648 (1971)

    Article  CAS  Google Scholar 

  16. Redlich, O., Kister, A.: Algebraic representation of thermodynamic properties and the classification of solutions. Ind. Eng. Chem. 40, 345–348 (1948)

    Article  Google Scholar 

  17. Janz, G.J., Allen, C.B., Bansal, N., Murphy, R., Tomkins, R.: Physical properties data compilations relevant to energy storage. II. Molten salts: data on single and multi-component salt systems. In: Rensselaer Polytechnic Inst., Cogswell Lab., Troy (1979)

  18. Janz, G.J., Tomkins, R.: Physical properties data compilations relevant to energy storage. IV. In: Molten salts: data on Additional single and multi-component salt systems. National Standard Reference Data System (1981)

Download references

Acknowledgments

The authors wish to express thanks to the Chinese National Science Foundation (Grant No. 51174022) and the National Program on Key Basic Research Project of China (Grant No. 2012CB215405) for their kind financial support.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kuo-Chih Chou.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, ZY., Wang, LJ., Chou, KC. et al. Comparison of Different Calculation Methods of the New Generation Geometric Model in Predicting the Density of NaCl–MgCl2–CaCl2 Systems. J Solution Chem 43, 577–584 (2014). https://doi.org/10.1007/s10953-014-0147-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10953-014-0147-6

Keywords

Navigation