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A Feasible Surface Patterning Method for SEM-DIC: Achieving High-Resolution In Situ Mapping of Local Strain and Microstructure to Reveal the Effect of Slip Transfer on Shear Strain Near Grain Boundaries

Published online by Cambridge University Press:  16 May 2022

Hao Ding Open the ORCID record for Hao Ding [Opens in a new window] ,
Xiping Cui ,
Yuchen Wang ,
Delong Cai ,
Zhiqi Wang ,
Yuanyuan Zhang ,
Lujun Huang  and
Lin Geng
Hao Ding
Affiliation:
School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, P.R. China
Xiping Cui*
Affiliation:
School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, P.R. China Center for Analysis, Measurement and Computing, Harbin Institute of Technology, Harbin 150001, P.R. China
Yuchen Wang
Affiliation:
School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, P.R. China
Delong Cai
Affiliation:
Lab & Equipment Administration Department, Harbin Institute of Technology, Harbin 150001, P.R. China
Zhiqi Wang
Affiliation:
School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, P.R. China
Yuanyuan Zhang
Affiliation:
School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, P.R. China
Lujun Huang
Affiliation:
School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, P.R. China
Lin Geng
Affiliation:
School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, P.R. China
*
*Corresponding author: Xiping Cui, E-mail: [email protected]
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Abstract

This paper exploited an alternative approach to prepare high-quality speckle patterns by uniformly dispersing nano-silica particles onto sample surfaces, helping digital image correlation (DIC) acquire the maximum spatial resolution of local strain up to 92 nm. A case study was carried out by combining this speckle pattern fabrication method with SEM-DIC and electron backscattering diffraction (EBSD). Thus, in situ mapping of local strain with ultra-high spatial resolution and microstructure in commercially pure titanium during plastic deformation could be achieved, which favored revealing the effect of slip transfer on shear strain near grain boundaries. Moreover, the slip systems could be easily identified via the combination of the SEM-DIC and EBSD techniques even though no obvious deformation trace was captured in secondary electron images. Additionally, the complex geometric compatibility factor $( {m}^{\prime}_c)$ relating to geometric compatibility factors (mʹ) and Schmid factors was proposed to predict the shear strain (εxy) at grain boundaries.

Keywords

geometric compatibility factorlocal strainSEM-DICslip transferspeckle pattern
Type
Software and Instrumentation
Information
Microscopy and Microanalysis , Volume 28 , Issue 6 , December 2022 , pp. 1931 - 1944
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of the Microscopy Society of America

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Footnotes

†

These authors contributed equally to this work.

References

Allais, L, Bornert, M, Bretheau, T & Caldemaison, D (1994). Experimental characterization of the local strain field in a heterogeneous elastoplastic material. Acta Metall Mater 42(11), 3865–3880.CrossRefGoogle Scholar
Bieler, TR, Eisenlohr, P, Zhang, C, Phukan, HJ & Crimp, MA (2014). Grain boundaries and interfaces in slip transfer. Curr Opin Solid State Mater Sci 18(4), 212–226.CrossRefGoogle Scholar
Biery, N, De Graef, M & Pollock, TM (2003). A method for measuring microstructural-scale strains using a scanning electron microscope: Applications to gamma-titanium aluminides. Metall Mater Trans A 34a(10), 2301–2313.CrossRefGoogle Scholar
Bomarito, GF, Hochhalter, JD & Ruggles, TJ (2018). Development of optimal multiscale patterns for digital image correlation via local grayscale variation. Exp Mech 58(7), 1169–1180.CrossRefGoogle Scholar
Chen, Z & Daly, SH (2016). Active slip system identification in polycrystalline metals by digital image correlation (DIC). Exp Mech 57(1), 115–127.CrossRefGoogle Scholar
Di Gioacchino, F & Clegg, WJ (2014). Mapping deformation in small-scale testing. Acta Mater 78, 103–113.CrossRefGoogle Scholar
Di Gioacchino, F & Da Fonseca, JQ (2013). Plastic strain mapping with sub-micron resolution using digital image correlation. Exp Mech 53(5), 743–754.CrossRefGoogle Scholar
Di Gioacchino, F & Da Fonseca, JQ (2015). An experimental study of the polycrystalline plasticity of austenitic stainless steel. Int J Plast 74, 92–109.CrossRefGoogle Scholar
Di Gioacchino, F, Edwards, TEJ, Wells, GN & Clegg, WJ (2020). A new mechanism of strain transfer in polycrystals. Sci Rep 10(1), 10082.CrossRefGoogle ScholarPubMed
Dong, YL & Pan, B (2017). A review of speckle pattern fabrication and assessment for digital image correlation. Exp Mech 57(8), 1161–1181.CrossRefGoogle Scholar
Ghadbeigi, H, Pinna, C, Celotto, S & Yates, JR (2010). Local plastic strain evolution in a high strength dual-phase steel. Mater Sci Eng A 527(18–19), 5026–5032.CrossRefGoogle Scholar
Griffin, BJ, Joy, DC & Michael, JR (2009). Characteristics of secondary electron images from in-lens and conventional Everhart-Thornley detectors - Evidence for the energy-based differentiation of high resolution SE1 and delocalized SE2 signals. Microsc Microanal 15(S2), 46–47.CrossRefGoogle Scholar
Hamada, S, Fujisawa, T, Koyama, M, Koga, N, Nakada, N, Tsuchiyama, T, Ueda, M & Noguchi, H (2014). Strain mapping with high spatial resolution across a wide observation range by digital image correlation on plastic replicas. Mater Charact 98, 140–146.CrossRefGoogle Scholar
Han, QH, Kang, YL, Hodgson, PD & Stanford, N (2013). Quantitative measurement of strain partitioning and slip systems in a dual-phase steel. Scr Mater 69(1), 13–16.CrossRefGoogle Scholar
Hielscher, R, Silbermann, CB, Schmidl, E & Ihlemann, J (2019). Denoising of crystal orientation maps. J Appl Crystallogr 52(5), 984–996.CrossRefGoogle Scholar
Huang, M, Xu, C, Fan, GH, Maawad, E, Gan, WM, Geng, L, Lin, FX, Tang, GZ, Wu, H, Du, Y, Li, DY, Miao, KS, Zhang, TT, Yang, XS, Xia, YP, Cao, GJ, Kang, HJ, Wang, TM, Xiao, TQ & Xie, HL (2018). Role of layered structure in ductility improvement of layered Ti-Al metal composite. Acta Mater 153, 235–249.CrossRefGoogle Scholar
Jin, H, Lu, WY & Korellis, J (2008). Micro-scale deformation measurement using the digital image correlation technique and scanning electron microscope imaging. J Strain Anal Eng Des 43(8), 719–728.CrossRefGoogle Scholar
Joo, SH, Lee, JK, Koo, JM, Lee, S, Suh, DW & Kim, HS (2013). Method for measuring nanoscale local strain in a dual phase steel using digital image correlation with nanodot patterns. Scr Mater 68(5), 245–248.CrossRefGoogle Scholar
Kammers, AD & Daly, S (2011). Small-scale patterning methods for digital image correlation under scanning electron microscopy. Mater Sci Technol 22, 12.Google Scholar
Kammers, AD & Daly, S (2013 a). Digital image correlation under scanning electron microscopy: Methodology and validation. Exp Mech 53(9), 1743–1761.CrossRefGoogle Scholar
Kammers, AD & Daly, S (2013 b). Self-Assembled nanoparticle surface patterning for improved digital image correlation in a scanning electron microscope. Exp Mech 53(8), 1333–1341.CrossRefGoogle Scholar
Kang, JD, Ososkov, Y, Embury, JD & Wilkinson, DS (2007). Digital image correlation studies for microscopic strain distribution and damage in dual phase steels. Scr Mater 56(11), 999–1002.CrossRefGoogle Scholar
Kapp, M, Hebesberger, T & Kolednik, O (2011). A micro-level strain analysis of a high-strength dual-phase steel. Int J Mater Res 102(6), 687–691.CrossRefGoogle Scholar
Liu, B, Eisenlohr, P, Roters, F & Raabe, D (2012). Simulation of dislocation penetration through a general low-angle grain boundary. Acta Mater 60(13–14), 5380–5390.CrossRefGoogle Scholar
Luster, J & Morris, MA (1995). Compatibility of deformation in two-phase Ti-Al alloys: Dependence on microstructure and orientation relationships. Metall Mater Trans A 26(7), 1745–1756.CrossRefGoogle Scholar
Marteau, J, Haddadi, H & Bouvier, S (2013). Investigation of strain heterogeneities between grains in ferritic and ferritic-martensitic. Steels Exp Mech 53(3), 427–439.CrossRefGoogle Scholar
Martin, G, Sinclair, CW & Schmitt, JH (2013). Plastic strain heterogeneities in an Mg-1Zn-0.5Nd alloy. Scr Mater 68(9), 695–698.CrossRefGoogle Scholar
Mello, AW, Book, TA, Nicolas, A, Otto, SE, Gilpin, CJ & Sangid, MD (2017). Distortion correction protocol for digital image correlation after scanning electron microscopy: Emphasis on long duration and ex-situ experiments. Exp Mech 57(9), 1395–1409.CrossRefGoogle Scholar
Pan, B, Qian, KM, Xie, HM & Asundi, A (2009). Two-dimensional digital image correlation for in-plane displacement and strain measurement: A review. Mater Sci Technol 20, 6.Google Scholar
Reu, P (2015). All about speckles: Contrast. Exp Tech 39(1), 1–2.Google Scholar
Schreier, H, Orteu, J-J & Sutton, MA (2009). Image Correlation for Shape, Motion and Deformation Measurements, Basic Concepts, Theory and Applications. New York: Springer .CrossRefGoogle Scholar
Scrivens, WA, Luo, Y, Sutton, MA, Collette, SA, Myrick, ML, Miney, P, Colavita, PE, Reynolds, AP & Li, X (2007). Development of patterns for digital image correlation measurements at reduced length scales. Exp Mech 47(1), 63–77.CrossRefGoogle Scholar
Sperry, R, Han, SY, Chen, Z, Daly, SH, Crimp, MA & Fullwood, DT (2021). Comparison of EBSD, DIC, AFM, and ECCI for active slip system identification in deformed Ti-7Al. Mater Charact 173, 110941.CrossRefGoogle Scholar
Stinville, JC, Charpagne, MA, Bourdin, F, Callahan, PG, Chen, Z, Echlin, MP, Texier, D, Cormier, J, Villechaise, P, Pollock, TM & Valle, V (2020). Measurement of elastic and rotation fields during irreversible deformation using heaviside-digital image correlation. Mater Charact 169, 110600.CrossRefGoogle Scholar
Stinville, JC, Echlin, MP, Texier, D, Bridier, F, Bocher, P & Pollock, TM (2016). Sub-grain scale digital image correlation by electron microscopy for polycrystalline materials during elastic and plastic deformation. Exp Mech 56(2), 197–216.CrossRefGoogle Scholar
Sun, J, Jin, L, Dong, J, Wang, FH, Dong, S, Ding, WJ & Luo, AA (2019). Towards high ductility in magnesium alloys - The role of intergranular deformation. Int J Plast 123, 121–132.CrossRefGoogle Scholar
Sutton, MA, Li, N, Garcia, D, Cornille, N, Orteu, JJ, Mcneill, SR, Schreier, HW, Li, X & Reynolds, AP (2007 a). Scanning electron microscopy for quantitative small and large deformation measurements - part II: Experimental validation for magnifications from 200 to 10,000. Exp Mech 47(6), 789–804.CrossRefGoogle Scholar
Sutton, MA, Li, N, Garcia, D, Cornille, N, Orteu, JJ, Mcneill, SR, Schreier, HW & Li, XD (2006). Metrology in a scanning electron microscope: Theoretical developments and experimental validation. Mater Sci Technol 17(10), 2613–2622.Google Scholar
Sutton, MA, Li, N, Joy, DC, Reynolds, AP & Li, X (2007 b). Scanning electron microscopy for quantitative small and large deformation measurements part i: SEM imaging at magnifications from 200 to 10,000. Exp Mech 47(6), 775–787.CrossRefGoogle Scholar
Tasan, CC, Hoefnagels, JPM & Geers, MGD (2010). Microstructural banding effects clarified through micrographic digital image correlation. Scr Mater 62(11), 835–838.CrossRefGoogle Scholar
Tschopp, MA, Bartha, BB, Porter, WJ, Murray, PT & Fairchild, SB (2009). Microstructure-dependent local strain behavior in polycrystals through in-situ scanning electron microscope tensile experiments. Metall Mater Trans A 40a(10), 2363–2368.CrossRefGoogle Scholar
Walley, JL, Wheeler, R, Uchic, MD & Mills, MJ (2012). In-situ mechanical testing for characterizing strain localization during deformation at elevated temperatures. Exp Mech 52(4), 405–416.CrossRefGoogle Scholar
Wang, L, Barabash, RI, Yang, Y, Bieler, TR, Crimp, MA, Eisenlohr, P, Liu, W & Ice, GE (2010). Experimental characterization and crystal plasticity modeling of heterogeneous deformation in polycrystalline α-Ti. Metall Mater Trans A 42(3), 626–635.CrossRefGoogle Scholar
Wang, L, Yang, Y, Eisenlohr, P, Bieler, TR, Crimp, MA & Mason, DE (2009 b). Twin nucleation by slip transfer across grain boundaries in commercial purity titanium. Metall Mater Trans A 41(2), 421–430.CrossRefGoogle Scholar
Wang, YQ, Sutton, MA, Bruck, HA & Schreier, HW (2009 a). Quantitative error assessment in pattern matching: Effects of intensity pattern noise, interpolation, strain and image contrast on motion measurements. Strain 45(2), 160–178.CrossRefGoogle Scholar
Weidner, A, Yanina, A, Guk, S, Kawalla, R & Biermann, H (2011). Microstructure and local strain fields in a high-alloyed austenitic cast steel and a steel-matrix composite material after in situ tensile and cyclic deformation. Steel Res Int 82(9), 990–997.CrossRefGoogle Scholar
Yan, DS, Tasan, CC & Raabe, D (2015). High resolution in situ mapping of microstrain and microstructure evolution reveals damage resistance criteria in dual phase steels. Acta Mater 96, 399–409.CrossRefGoogle Scholar
Zhang, SQ, Godfrey, A, Zhang, CL, Liu, W & Jensen, DJ (2020). Surface patterning for combined digital image correlation and electron backscatter diffraction in-situ deformation experiments. Mater Charact 164, 110332.CrossRefGoogle Scholar