nach oben

Erschienen in:

12.08.2020 | Research paper

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

verfasst von: J.C. Stinville, T. Francis, A.T. Polonsky, C.J. Torbet, M.A. Charpagne, Z. Chen, G.H. Balbus, F. Bourdin, V. Valle, P.G. Callahan, M.P. Echlin, T.M. Pollock

Erschienen in: Experimental Mechanics | Ausgabe 2/2021

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

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.

Vorheriger Artikel Analytical Model and Experimental Verification of the Interfacial Peeling Strength of Electrodes

Nächster Artikel Reconstruction of Heat Sources Induced in Superelastically Loaded Ni-Ti Wire By Localized Deformation Processes

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

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

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

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

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

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

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

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

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

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.2005.08.004CrossRef

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.2016.04.057CrossRef

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)00145-2CrossRef

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.2012.10.043CrossRef

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/s11340-012-9685-2CrossRef

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.12330CrossRef

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):837–850CrossRef

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):697–698CrossRef

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/s11340-007-9041-0CrossRef

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.70.69CrossRef

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.2017.02.068CrossRef

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.2016.01.054CrossRef

Titel: Time-Resolved Digital Image Correlation in the Scanning Electron Microscope for Analysis of Time-Dependent Mechanisms
verfasst von: J.C. Stinville
T. Francis
A.T. Polonsky
C.J. Torbet
M.A. Charpagne
Z. Chen
G.H. Balbus
F. Bourdin
V. Valle
P.G. Callahan
M.P. Echlin
T.M. Pollock
Publikationsdatum: 12.08.2020
Verlag: Springer US
Erschienen in: Experimental Mechanics / Ausgabe 2/2021
Print ISSN: 0014-4851
Elektronische ISSN: 1741-2765
DOI: https://doi.org/10.1007/s11340-020-00632-2

Premium Partner

Marktübersichten

Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.

Zur Marktübersicht

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Weitere Artikel der Ausgabe 2/2021

On the cover of this issue: “Solid Cylinder Torsion for Large Shear Deformation and Failure of Engineering Materials” by W-Y. Lu et al.

Reconstruction of Heat Sources Induced in Superelastically Loaded Ni-Ti Wire By Localized Deformation Processes

Interlaboratory Study of Digital Volume Correlation Error Due to X-Ray Computed Tomography Equipment and Scan Parameters: an Update from the DVC Challenge

Measuring the Hyperelastic Response of Porcine Liver Tissues In-Vitro Using Controlled Cavitation Rheology

Solid Cylinder Torsion for Large Shear Deformation and Failure of Engineering Materials

New Methodologies for Fracture Detection of Automotive Steels in Tight Radius Bending: Application to the VDA 238–100 V-Bend Test

Premium Partner

Marktübersichten