Research article

Assessment of diffusional mobilities in bcc Cu–Sn and bcc Cu–Zn alloys

  • Received: 19 September 2019 Accepted: 11 November 2019 Published: 25 November 2019
  • The Cu–Sn–Zn alloy system is technically very important. Brass (Cu–Zn) and bronze (Cu–Sn) alloys have been used and developed for tools and components for over thousands of years and are still used in a wide range of applications like marine components, bearings, music instruments and for components in contact with corrosive media. Even though it is a very old and well-studied alloy system, there are only few studies that analyze Cu–Sn–Zn coating systems. Furthermore very basic properties like the diffusion through different phases are not studied in detail. In this work experimental diffusion data in the literature is critically reviewed. On the basis of these studies a diffusion mobility database for the bcc phase of the ternary Cu–Sn–Zn is presented. The database was established using the DICTRA-type (DIffusion Controlled TRAnsformation) diffusion modeling. The resulting curves for the interdiffusion coefficient for various alloy concentrations are then compared to available literature data. Furthermore, experiments from diffusion couples are recalculated for validation. A good fit of these experimental data could be realized using only few parameters.

    Citation: Ebert D. M. Alvares, Johannes Preußner. Assessment of diffusional mobilities in bcc Cu–Sn and bcc Cu–Zn alloys[J]. AIMS Materials Science, 2019, 6(6): 1153-1163. doi: 10.3934/matersci.2019.6.1153

    Related Papers:

  • The Cu–Sn–Zn alloy system is technically very important. Brass (Cu–Zn) and bronze (Cu–Sn) alloys have been used and developed for tools and components for over thousands of years and are still used in a wide range of applications like marine components, bearings, music instruments and for components in contact with corrosive media. Even though it is a very old and well-studied alloy system, there are only few studies that analyze Cu–Sn–Zn coating systems. Furthermore very basic properties like the diffusion through different phases are not studied in detail. In this work experimental diffusion data in the literature is critically reviewed. On the basis of these studies a diffusion mobility database for the bcc phase of the ternary Cu–Sn–Zn is presented. The database was established using the DICTRA-type (DIffusion Controlled TRAnsformation) diffusion modeling. The resulting curves for the interdiffusion coefficient for various alloy concentrations are then compared to available literature data. Furthermore, experiments from diffusion couples are recalculated for validation. A good fit of these experimental data could be realized using only few parameters.


    加载中


    [1] Mock C, Kölle S, Preussner Y (2017) (Zukunfts-)Chancen der Weißbronzeschichten-eine potentielle Nickelersatzschicht? WOMAG 5: 24-25. DOI: 10.7395/2017/Mock1.
    [2] Kirkendall TD, Thomassen L, Upthegrove C (1939) Rates of diffusion of copper and zinc in Alpha Brass transactions. AIME 133: 186-203.
    [3] Preußner J, Weber M, Helm D, et al. (2013) Modellierung der Ausscheidungskinetik und des mechanischen Verhaltens in einer Cu-Ni-Si-Legierung. Metall 11: 517-520.
    [4] Sudman B, Fries SG, Lukas H (2007) Computational Thermodynamics, 1 Ed., Cambridge University Press.
    [5] Liu Z, Wang Y (2016) Computational Thermodynamics of Materials, 1 Ed., Cambridge: Cambridge University Press.
    [6] Thermal-Calc Software-TCCU2: TCS Cu-based Alloys Database. Available from: http://www.thermocalc.com/media/41191/tccu2.pdf.
    [7] Tang Y, Chen Q, Engström A, et al. (2018) Kinetic simulations of diffusion-controlled phase transformations in Cu-based alloys, In: Zhang LJ, Diffusion Foundations, Zürich: Trans Tech Publications, 15: 1-22.
    [8] Ågren J (2002) Binary and multicomponent diffusion, In: Kaufmann EN, Characterization of Materials, Willey Online Library. DOI:10.1002/0471266965.com014.
    [9] Andersson J, Ågren J (1992) Models for numerical treatments of multicomponent diffusion in simple phases. J Appl Phys 72: 1350-1355. doi: 10.1063/1.351745
    [10] Kaufman L, Bernstein H (1970) Computer Calculation of Phase Diagrams, New York: Academic Press.
    [11] Redlich O, Kister A (1948) Algebraic representation of thermodynamic properties and the classification of solutions. Ind Eng Chem 40: 345-348. doi: 10.1021/ie50458a036
    [12] Lindsay S (2009) Introduction to Nanoscience, Oxford: Oxford University Press.
    [13] Darken LS (1948) Diffusion, mobility and their interrelation through free energy in binary metallic systems. Trans Aime 175: 184-201.
    [14] Neumann G (1987) A model for the calculation of monovacancy and divacancy contributions to the impurity diffusion in noble-metals. Phys Status Solidi B 144: 329-341. doi: 10.1002/pssb.2221440129
    [15] John A (1970) Tracer Diffusion Data for Metals, Alloys and Simple Oxides, New York: Springer, 13-26.
    [16] Dinsdale AT (1991) SGTE data for pure elements. Calphad 15: 317-425. doi: 10.1016/0364-5916(91)90030-N
    [17] Han JJ, Wang CP, Liu XJ (2013) A modified model to preddict self-diffusion coefficients in metastable fcc, bcc and hcp structures. J Phase Equilib Diffus 34: 17-24. doi: 10.1007/s11669-012-0185-y
    [18] Wang CP, Luo YS, Lu Y, et al. (2017) Interdiffusion and atomic mobilities in bcc Ti-Ga and Ti-Cu alloys. J Phase Equilib Diff 38: 84-93. doi: 10.1007/s11669-016-0506-7
    [19] Miettinen J (2006) Thermodynamic-kinetic model for the simulation of solidification in binary copper alloys and calculation of thermophysical properties. Comp Mat Sci 36: 367-380. doi: 10.1016/j.commatsci.2005.05.004
    [20] Yokota M, Nose M, Mitani H (1980) Interdiffusion in ß and γ phases of the Cu-Sn binary alloy system. J Japan Inst Metals 44: 1007-1012. doi: 10.2320/jinstmet1952.44.9_1007
    [21] Landergren US, Birchenall CE, Mehk RF (1956) Diffusion and marker movements in beta brass. J of Metals 8: 73-78.
    [22] Chen SW, Huang YC, Gierlotka W, et al. (2009) Liquidus projection and thermodynamic modeling of Sn-Zn-Cu ternary system. J Alloy Comp 477: 283-290. doi: 10.1016/j.jallcom.2008.10.156
    [23] Jantzen T, Spencer P (1998) Thermodynamic assessments of the Cu-Pb-Zn and Cu-Sn-Zn systems. Calphad 22: 417-434. doi: 10.1016/S0364-5916(98)00040-6
    [24] Neumann G, Tuijin C (2008) Self-diffusion and Impurity Diffusion in Pure Merals: handbook of Experimental Data, Pergamon: Elsevier.
    [25] Balluffi R, Resnick R (1955) Diffusion of zinc and copper in Alpha and Beta Brasses. J Metals 7: 1004-1010.
    [26] Xu HX, Zhang LJ (2017) Reassessment of atomic mobilities in fcc Cu-Ag-Sn system aiming at establishment of an atomic mobility database in Sn-Ag-Cu-In-Sb-Bi-Pb solder alloys. J Electron Mater 46: 2119-2129. doi: 10.1007/s11664-016-5145-6
  • Reader Comments
  • © 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(4350) PDF downloads(511) Cited by(0)

Article outline

Figures and Tables

Figures(4)  /  Tables(3)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog