Hostname: page-component-745bb68f8f-mzp66 Total loading time: 0 Render date: 2025-01-14T10:41:49.710Z Has data issue: false hasContentIssue false
  • English
  • Français

Quantification of grain boundary connectivity for predicting intergranular corrosion resistance in BFe10-1-1 copper–nickel alloy

Published online by Cambridge University Press:  22 October 2018

Yinghui Zhang ,
Xingyu Feng Open the ORCID record for Xingyu Feng [Opens in a new window] ,
Chunmei Song ,
Hang Wang ,
Bin Yang  and
Zhigang Wang
Yinghui Zhang
Affiliation:
School of Materials Science and Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
Xingyu Feng*
Affiliation:
School of Materials Science and Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
Chunmei Song
Affiliation:
School of Materials Science and Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
Hang Wang
Affiliation:
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
Bin Yang
Affiliation:
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
Zhigang Wang*
Affiliation:
School of Materials Science and Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China
*
Address all correspondence to Xingyu Feng at fxy_105831@163.com and Zhigang Wang at wzgang2008cn@163.com
Address all correspondence to Xingyu Feng at fxy_105831@163.com and Zhigang Wang at wzgang2008cn@163.com
Get access

Abstract

We investigated the connectivity of high-energy random grain boundaries through fractal analyses of specimens with different grain boundary (GB) microstructures in BFe10-1-1 copper–nickel alloy. It was found that the profile of maximum random boundary network possesses a fractal nature and more than one fractal dimension can exist. The fraction of special boundaries and grain size homogeneity can play an important role on GB character distribution. Here, GB microstructures are combined with quantitative materials structure–property relationship models to predict intergranular corrosion properties. The experimental results are accurately consistent with the theoretical predictions.

Type
Research Letters
Information
MRS Communications , Volume 9 , Issue 1 , March 2019 , pp. 251 - 257
Copyright
Copyright © Materials Research Society 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Bechtle, S., Kumar, M., Somerday, B.P., Launey, M.E., and Ritchie, R.O.: Grain-boundary engineering markedly reduces susceptibility to intergranular hydrogen embrittlement in metallic materials. Acta Mater. 57, 4148 (2009).Google Scholar
2.Tokita, S., Kokawa, H., Sato, Y.S., and Fujii, H.T.: In situ EBSD observation of grain boundary character distribution evolution during thermomechanical process used for grain boundary engineering of 304 austenitic stainless steel. Mater. Charact. 100, 365 (2017).Google Scholar
3.Kumar, B. S., Prasad, B.S., Kain, V., and Reddy, J.: Methods for making alloy 600resistant to sensitization and intergranular corrosion. Corros. Sci. 70, 55 (2013).Google Scholar
4.Burleigh, T.D. and Waldeck, D.H.: Effect of alloying on the resistance of Cu-10% Ni alloys to seawater impingement. Corrosion 55, 800 (1999).Google Scholar
5.Hu, C., Xia, S., Li, H., Liu, T., Zhou, B., Chen, W., and Wang, N.: Improving the intergranular corrosion resistance of 304 stainless steel by grain boundary network control. Corros. Sci. 53, 1880 (2011).Google Scholar
6.Watanabe, T.: An approach to grain boundary design for strong and ductile polycrystals. Res. Mech. 11, 47 (1984).Google Scholar
7.Chen, A.Y., Hu, W.F., Wang, D., Zhu, Y.K., Wang, P., Yang, J.H., Wang, X.Y., Gu, J.F., and Lu, J.: Improving the intergranular corrosion resistance of austenitic stainless steel by high density twinned structure. Scr. Mater. 130, 264 (2017).Google Scholar
8.Deepak, K., Mandal, S., Athreya, C.N., Kim, D-IK, de Boer, B., and Subramanya Sarma, V.: Implication of grain boundary engineering on high temperature hot corrosion of alloy 617. Corros. Sci. 106, 293 (2016).Google Scholar
9.Michiuchi, M., Kokawa, H., Wang, Z.J., Sato, Y.S., and Sakai, K.: Twin-induced grainboundary engineering for 316 austenitic stainless steel. Acta Mater. 54, 5179 (2006).Google Scholar
10.Drach, A., Tsukrov, I., DeCew, J., Aufrecht, J., Grohbauer, A., and Hofmann, U.: Field studies of corrosion behaviour of copper alloys in natural seawater. Corros. Sci. 76, 453 (2013).Google Scholar
11.Ma, A.L., Jiang, S.L., Zheng, Y.G., and Ke, W.: Corrosion product film formed on the 90/10 copper-nickel tube in natural seawater: composition/structure and formation mechanism. Corros. Sci. 91, 245 (2015).Google Scholar
12.Ekerenam, O.O., Ma, A., Zheng, Y., and Emori, W.: Electrochemical behavior of three 90Cu-10Ni tubes from different manufacturers after immersion in 3.5% NaCl solution. J. Mater. Eng. Perform. 26, 1701 (2017).Google Scholar
13.Randle, V.: “Special” boundaries and grain boundary plane engineering. Scr. Mater. 54, 1011 (2006).Google Scholar
14.Gottstein, G. and Shvindlerman, L.S.: Grain boundary junction engineering. Scr. Mater. 54, 1065 (2006).Google Scholar
15.Kobayashi, S., Maruyama, T., Tsurekawa, S., and Watanabe, T.: Grain boundary engineering based on fractal analysis for control of segregation-induced intergranular brittle fracture in polycrystalline nickel. Acta Mater. 60, 6200 (2012).Google Scholar
16.Kobayashi, S., Kobayashi, R., and Watanabe, T.: Control of grain boundary connectivity based on fractal analysis for improvement of intergranular corrosion resistance in SUS316L austenitic stainless steel. Acta Mater. 102, 397 (2016).Google Scholar
17.Brandon, D.G.: The structure of high-angle grain boundaries. Acta Metall. 14, 1479 (1966).Google Scholar
18.Watanabe, T. and Grain boundary engineering: Historical perspective and future prospects. J. Mater. Sci. 46, 4095 (2011).Google Scholar
19.Fortier, P., Miller, W.A., and Aust, K.T.: Effects of symmetry, texture and topology on triple junction character distribution in polycrystalline materials. Acta Metall. Mater. 43, 339 (1995).Google Scholar
20.Mandelbrot, B.B., Passoja, D.E., and Paullay, A.J.: Fractal character of fracture surfaces of metals. Nature 308, 721 (1984).Google Scholar
21.Kobayashi, S., Tsurekawa, S., and Watanabe, T.: A new approach to grain boundary engineering for nanocrystalline materials. Beilstein J. Nanotechnol. 7, 1829 (2016).Google Scholar
22.Dubuc, B., Quiniou, J.F., Roques-Carmes, C., Tricot, C., and Zucker, S.W.: Evaluating the fractal dimension of profiles. Phys. Rev. A 39, 1500 (1989).Google Scholar
23.Charkaluk, E., Bigerelle, M., and Iost, A.: Fractals and fracture. Eng. Fract. Mech. 61, 119 (1998).Google Scholar
24.Bober, D.B., Lind, J., Mulay, R.P., Rupert, T.J., and Kumar, M.: The formation and characterization of large twin related domains. Acta Mater. 129, 500 (2017).Google Scholar
25.Schuh, C.A., Minich, R.W., and Kumar, M.: Connectivity and percolation in simulated grain-boundary networks. Philos. Mag. 83, 711 (2003).Google Scholar
26.Cao, F., Wei, J., Dong, J., and Ke, W.: The corrosion inhibition effect of phytic acid on 20SiMn steel in simulated carbonated concrete pore solution. Corros. Sci. 100, 365 (2015).Google Scholar
27.Subramanian, V., Chandramohan, P., Srinivasan, M.P., Velmurugan, S., and Narasimhan, S.V.: Corrosion of cupronickel alloy in permanganate under acidic condition. Corros. Sci. 49, 620 (2007).Google Scholar
28.Randle, V., Hu, Y., and Coleman, M.: Grain boundary reorientation in copper. J. Mater. Sci. 43, 3782 (2008).Google Scholar
Supplementary material: File

Zhang et al. supplementary material

Zhang et al. supplementary material 1

Download Zhang et al. supplementary material(File)
File 562.2 KB