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Time-Resolved Digital Image Correlation in the Scanning Electron Microscope for Analysis of Time-Dependent Mechanisms

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Abstract

Background: Advancements in the Digitial Image Correlation (DIC) technique over the past decade have greatly improved spatial resolution. However, many processes, such as plastic deformation, have a temporal component spanning from fractions of a second to minutes that has not yet been addressed in detail, particularly for DIC conducted in-situ in the scanning electron microscope (SEM). Objective: To develop a methodology for conducting time-resolved digital image correlation in the SEM for analysis of time-dependent mechanical deformation phenomena. Methods: Microscope and electron beam scanning parameters that influence the rate at which time-resolved DIC information is mapped are experimentally investigated, providing a guide for use over a range of timescales and resolutions. Results: Time-resolved DIC imaging is demonstrated on a Ti-7Al alloy, where slip band propagation is resolved with imaging dwell times of seconds. The limits of strain resolution and strain collection speeds are analyzed. Conclusions: The new developed methodology can be applied to a wide range of materials loaded in-situ to quantify time-dependent plastic deformation phenomena.

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References

  1. Walter TR, Legrand D, Granados HD, Reyes G, Arámbula R Volcanic eruption monitoring by thermal image correlation: Pixel offsets show episodic dome growth of the colima volcano. J Geophys Res Solid Earth 118(4):1408–1419, 2013. https://doi.org/10.1002/jgrb.50066

  2. Brownjohn JMW, Xu Y, Hester D (2017) Vision-based bridge deformation monitoring. Frontiers in Built Environment, 3. https://doi.org/10.3389/fbuil.2017.00023

  3. Wang X, Pan Z, Fan F, Wang J, Liu Y, Mao SX, Zhu T, Xia S (2015) Nanoscale deformation analysis with high-resolution transmission electron microscopy and digital image correlation. Journal of applied mechanics 82(12). https://doi.org/10.1115/1.4031332

  4. Sutton MA, Sharpe Jr, William N (2008) Digital image correlation for shape and deformation measurements. In: Springer Handbook of Experimental Solid Mechanics. ISBN 978-0-387-26883-5. https://doi.org/10.1007/978-0-387-30877-7_20. Springer, US, pp 565–600

  5. Réthoré J, Hild F, Roux S (2007) Shear-band capturing using a multiscale extended digital image correlation technique. Comput Methods Appl Mech Eng 196(49-52):5016–5030. ISSN 00457825

  6. Deb D, Bhattacharjee S (2015) Extended digital image correlation method for analysis of discrete discontinuity. Opt Lasers Eng 74:59–66. ISSN 01438166. https://doi.org/10.1016/j.optlaseng.2015.05.006

  7. Poissant J, Barthelat F (2010) A novel “subset splitting” procedure for digital image correlation on discontinuous displacement fields. Exper Mech 50(3):353–364. ISSN 1741-2765. https://doi.org/10.1007/s11340-009-9220-2

  8. Jin H, Bruck HA Pointwise digital image correlation using genetic algorithms. Exper Techn 29(1):36–39, 2005. https://doi.org/10.1111/j.1747-1567.2005.tb00202.x

  9. Bourdin F, Stinville JC, Echlin MP, Callahan PG, Lenthe WC, Torbet CJ, Texier D, Bridier F, Cormier J, Villechaise P, Pollock TM, Valle V (2018) Measurements of plastic localization by heaviside-digital image correlation. Acta Mater 157:307–325. ISSN 1359-6454. http://www.sciencedirect.com/science/article/pii/S135964541830541X

  10. Valle V, Hedan S (2017) Crack Analysis in Mudbricks under Compression Using Specific Development of Stereo-Digital Image Correlation. Experimental Mechanics. https://doi.org/10.1007/s11340-017-0363-2

  11. Zheng Z, Balint DS, Dunne FPE (2017) Mechanistic basis of temperature-dependent dwell fatigue in titanium alloys. J Mech Phys Solids 107:185–203. ISSN 0022-5096. URL http://www.sciencedirect.com/science/article/pii/S0022509616307918

  12. Lagattu F, Bridier F, Villechaise P, Brillaud J (2006) In-plane strain measurements on a microscopic scale by coupling digital image correlation and an in situ SEM technique. Mater Charact 56(1):10–18. https://doi.org/10.1016/j.matchar.2005.08.004

    Article  Google Scholar 

  13. Echlin MP, Stinville JC, Miller VM, Lenthe WC, Pollock TM (2016) Incipient slip and long range plastic strain localization in microtextured Ti-6Al-4V titanium. Acta Mater 114:164–175. https://doi.org/10.1016/j.actamat.2016.04.057

    Article  Google Scholar 

  14. Lunt D, Quinta da Fonseca J, Rugg D, Preuss M (May 2016) Slip band characterisation in Ti-6Al-4V with varying degrees of macrozones. In Proceedings of the 13th World Conference Slip band characterisation in Ti-6Al-4V with varying degrees of macrozones. Inproceedings of the 13th World Conference on Titanium. Wiley, pp 1129–1134. https://doi.org/10.1002/9781119296126.ch191

  15. Bache M (2003) A review of dwell sensitive fatigue in titanium alloys: the role of microstructure, texture and operating conditions. Int J Fatigue 25(9-11):1079–1087. https://doi.org/10.1016/s0142-1123(03)00145-2

    Article  Google Scholar 

  16. Banerjee D, Williams JC (2013) Perspectives on titanium science and technology. Acta Mater 61(3):844–879. https://doi.org/10.1016/j.actamat.2012.10.043

    Article  Google Scholar 

  17. Pilchak AL (2013) Fatigue crack growth rates in alpha titanium: Faceted vs. striation growth. Scripta Mater 68(5):277–280. ISSN 1359-6462. URL http://www.sciencedirect.com/science/article/pii/S135964621200694X

  18. Lavogiez C, Hėmery S, Villechaise P (2019) Analysis of deformation mechanisms operating under fatigue and dwell-fatigue loadings in an α/β titanium alloy. International Journal of Fatigue, pp 105341. https://doi.org/10.1016/j.ijfatigue.2019.105341

  19. Waheed S, Zheng Z, Balint DS, Dunne FPE (2019) Microstructural effects on strain rate and dwell sensitivity in dual-phase titanium alloys. Acta Mater 162:136–148. ISSN 1359-6454. http://www.sciencedirect.com/science/article/pii/S135964541830747X

  20. Charpagne M-A, Strub F, Pollock TM (2019) Accurate reconstruction of ebsd datasets by a multimodal data approach using an evolutionary algorithm. Mater Charact 150:184–198. ISSN 1044-5803. http://www.sciencedirect.com/science/article/pii/S1044580318329073

  21. Kammers AD, Daly S (2013a) Self-assembled nanoparticle surface patterning for improved digital image correlation in a scanning electron microscope. Exper Mech 53(8):1333–1341. ISSN 0014-4851. https://doi.org/10.1007/s11340-013-9734-5

  22. Montgomery CB, Koohbor B, Sottos NR (2019) A robust patterning technique for electron microscopy-based digital image correlation at sub-micron resolutions. Exper Mech 59(7):1063–1073. ISSN 1741-2765. https://doi.org/10.1007/s11340-019-00487-2

  23. Di Gioacchino F, Quinta da Fonseca J (2013) Plastic strain mapping with sub-micron resolution using digital image correlation. Exp Mech 53(5):743–754. https://doio.org/10.1007/s11340-012-9685-2

    Article  Google Scholar 

  24. Hoefnagels JPM, van Maris MPFHL, Vermeij T (2019) One-step deposition of nano-to-micron-scalable, high-quality digital image correlation patterns for high-strain in-situ multi-microscopy testing. Strain 55(6):e12330. https://doi.org/10.1111/str.12330

    Article  Google Scholar 

  25. Stinville JC, Echlin MP, Texier D, Bridier F, Bocher P, Pollock TM (2015) Sub-grain scale digital image correlation by electron microscopy for polycrystalline materials during elastic and plastic deformation. Experimental Mechanics, pp 1–20. ISSN 0014-4851. https://doi.org/10.1007/s11340-015-0083-4

  26. Kammers AD, Daly S (2013) Digital image correlation under scanning electron microscopy: Methodology and validation. Exper Mech 53(9):1743–1761. ISSN 0014-4851. https://doi.org/10.1007/s11340-013-9782-x

  27. Mello AW, Nicolas A, Sangid MD (2017) Fatigue strain mapping via digital image correlation for Ni-based superalloys: The role of thermal activation on cube slip. Mater Sci Eng 695(Supplement C):332–341. ISSN 0921-5093. http://www.sciencedirect.com/science/article/pii/S0921509317304458

  28. Lenthe WC, Stinville JC, Echlin MP, Chen Z, Daly S, Polloc TM (2018) Advanced detector signal acquisition and electron beam scanning for high resolution sem imaging. Ultramicr 195:93–100. ISSN 0304-3991. http://www.sciencedirect.com/science/article/pii/S0304399118300305

  29. Valle V, Hedan S, Cosenza P, Fauchille A-L, Berdjane M DIC Development for the Study of Materials Including Multiple Crossing Cracks. Exper Mech 55(2):379–391, 2015. ISSN 17412765

  30. Réthoré J, Hild F, Roux S (2008) Extended digital image correlation with crack shape optimization. Int J Numer Method Eng 73(2):248–272. ISSN 00295981

  31. van der Walt S, Schönberger JL, Nunez-Iglesias J, Boulogne F, Warner JD, Yager N, Gouillart E, Yu T, the scikit-image contributors (2014) scikit-image: image processing in Python. PeerJ, 2:e453. ISSN 2167-8359. https://doi.org/10.7717/peerj.453

  32. Guizar-Sicairos M, Thurman ST, Fienup JR (2008) Efficient subpixel image registration algorithms. Opt Lett 33(2):156–158. http://ol.osa.org/abstract.cfm?URI=ol-33-2-156

  33. Williams JC, Baggerly RG, Paton NE (2002) Deformation behavior of hcp ti-al alloy single crystals. Metall Mater Trans A 33(13):837–850

    Article  Google Scholar 

  34. Michael JR, Nakakura CY, Garbowski T, Eberle AL, Kemen T, Zeidler D (2015) High-throughput sem via multi-beam sem,: Applications in materials science. Microsc Microanal 21(S3):697–698

    Article  Google Scholar 

  35. Sutton MA, Li N, Garcia D, Cornille N, Orteu JJ, McNeill SR, Schreier HW, Li X, Reynolds AP (2007) Scanning electron microscopy for quantitative small and large deformation measurements part II,: Experimental validation for magnifications from 200 to 10, 000. Exper Mech 47(6):789–804. https://doi.org/10.1007/s11340-007-9041-0

    Article  Google Scholar 

  36. Bickel VT, Manconi A, Amann F (2018) Quantitative assessment of digital image correlation methods to detect and monitor surface displacements of large slope instabilities. Remote Sens 10(6). ISSN 2072-4292. https://www.mdpi.com/2072-4292/10/6/865

  37. Reu PL (2011) High/ultra-high speed imaging as a diagnostic tool. Appl Mech Mater 70:69–74. https://doi.org/10.4028/www.scientific.net/amm.70.69

    Article  Google Scholar 

  38. Guo S, Sutton M, Li X, Li N, Wang L (2014) Sem-dic based nanoscale thermal deformation studies of heterogeneous material. In: Jin H, Sciammarella C, Yoshida S, Lamberti L (eds) Advancement of Optical Methods in Experimental Mechanics. ISBN 978-3-319-00768-7, vol 3. Springer International Publishing, Cham, pp 145–150

  39. Sachtleber M, Zhao Z, Raabe D (2002) Experimental investigation of plastic grain interaction. Mater Sci Eng 336(1):81–87. ISSN 0921-5093. http://www.sciencedirect.com/science/article/pii/S0921509301019748

  40. Cai J, Wang C, Mao X, Wang Q (2017) An adaptive offset tracking method with sar images for landslide displacement monitoring. Remote Sens 9(8). ISSN 2072-4292. https://www.mdpi.com/2072-4292/9/8/830

  41. Darvishi M, Schlögel R, Bruzzone L, Cuozzo G (2018) Integration of psi, mai, and intensity-based sub-pixel offset tracking results for landslide monitoring with x-band corner reflectors—italian alps (corvara). Remote Sens 10(3). ISSN 2072-4292. https://www.mdpi.com/2072-4292/10/3/409

  42. Euillades LD, Euillades PA, Riveros NC, Masiokas MH, Ruiz L, Pitte P, Elefante S, Casu F, Balbarani S (2016) Detection of glaciers displacement time-series using sar. Remote Sens Environ 184:188–198. ISSN 0034-4257. http://www.sciencedirect.com/science/article/pii/S0034425716302607

  43. Lunt D, Busolo T, Xu X, Quinta da Fonseca J, Preuss M (2017) Effect of nanoscale α 2 precipitation on strain localisation in a two-phase Ti-alloy. Acta Mater 129:72–82. https://doi.org/10.1016/j.actamat.2017.02.068

    Article  Google Scholar 

  44. Lu L, Fan D, Bie BX, Ran XX, Qi ML, Parab N, Sun JZ, Liao HJ, Hudspeth MC, Claus B, Fezzaa K, Sun T, Chen W, Gong XL, Luo SN (2014) Note: Dynamic strain field mapping with synchrotron x-ray digital image correlation. Rev Scient Instrum 85(7):076101. https://doi.org/10.1063/1.4887343

  45. Kumar D, Kamle S, Mohite PM, Kamath GM (2019) A novel real-time DIC-FPGA-based measurement method for dynamic testing of light and flexible structures. Measur Sci Technol 30(4):045903. https://doi.org/10.1088/1361-6501/ab01a7

  46. Moy P, Walter T (2018) Ultra-high speed imaging for DIC measurements in kolsky bar experiments. In: Conference Proceedings of the Society for Experimental Mechanics Series. Springer International Publishing, pp 127–128. https://doi.org/10.1007/978-3-319-97481-1_18

  47. Fauchille A-L, Hedan S, Valle V, Pret D, Cabrera J, Cosenza P (2016) Multi-scale study on the deformation and fracture evolution of clay rock sample subjected to desiccation. Appl Clay Sci 132-133:251–260. https://doi.org/10.1016/j.clay.2016.01.054

    Article  Google Scholar 

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Acknowledgments

The support of ONR Grant N00014-19-1-2129 is gratefully acknowledged. The authors gratefully acknowledge S. Daly for technical discussion. R. Geurts (FEI/TFS) is also acknowledged for useful discussions and contributions for the Autoscript microscope scripting interface. PGC was funded by the U.S. Naval Research Laboratory under the auspices of the Office of Naval Research.

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Authors and Affiliations

  1. University of California Santa Barbara, Santa Barbara, CA, USA

    J.C. Stinville, T. Francis, A.T. Polonsky, C.J. Torbet, M.A. Charpagne, Z. Chen, G.H. Balbus, M.P. Echlin & T.M. Pollock

  2. Institut PPRIME, Université de Poitiers, CNRS, ENSMA, UPR 3346, 86962, Chasseneuil Cedex, France

    F. Bourdin & V. Valle

  3. US Naval Research Lab, Washington, DC, USA

    P.G. Callahan

  4. AirBus, Toulouse, France

    F. Bourdin

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  1. J.C. Stinville
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Stinville, J., Francis, T., Polonsky, A. et al. Time-Resolved Digital Image Correlation in the Scanning Electron Microscope for Analysis of Time-Dependent Mechanisms. Exp Mech 61, 331–348 (2021). https://doi.org/10.1007/s11340-020-00632-2

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