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Theoretical Considerations for Transitioning the Grid Method Technique to the Microscale

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Abstract

Background

As new applications demand the synthesis and validation of materials with specific mechanical performance targets, there is a need for improved characterization and understanding of reduced length-scale deformation processes which govern mechanical behavior (i.e., dislocation slip and twinning). The heterogeneous nature of deformation in polycrystalline materials makes it essential to employ length-scale-independent and material agnostic full-field measurement techniques during mechanics of materials studies.

Objective

The intention of the current work is to demonstrate the fundamental steps of transitioning the Grid Method (GM), a macro-scale full-field measurement technique used in mechanics of materials studies, to the microscale.

Methods

Two obstacles overcame when transitioning the technique are reported. The first is the deposition of ultra-fine grids with a pitch of 500nm using a focused ion beam. The second is the characterization and correction of equipment-dependent raster-based image distortions inherent to scanning electron microscope (SEM) image acquisition. The SEM-induced distortions are simulated using a closed-form model which more accurately represents the Fast Fourier Transform modulus obtained from SEM micrographs. The proposed model is validated against synthetic deformation cases, specifically uniaxial tension, uniaxial compression, pure shear, simple shear, and heterogeneous deformation. A two-step filtering procedure informed by the newly introduced closed-form model, consisting of a notch and frame filter is proposed in order to remove distortions observed in SEM micrographs.

Result

After correcting the SEM-induced distortions on the stationary microgrid micrographs using the proposed two-step filtering, the extracted strain distortion level is reduced from 0.02 to 0.005 strain.

Conclusion

Combined, the efforts presented in the current work demonstrate the initial development and promise of the microscale scanning electron microscope grid method (SEM-GM) to capture distortion corrected strain maps in reduced length-scale.

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References

  1. Grediac M, Pierron F, Avril S, Toussaint E (2006) The virtual fields method for extracting constitutive parameters from full-field measurements: a review. Strain 42(4):233–253

    Article  Google Scholar 

  2. 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

    Article  Google Scholar 

  3. Ghadbeigi H, Pinna C, Celotto S (2012) Quantitative strain analysis of the large deformation at the scale of microstructure: comparison between digital image correlation and microgrid techniques. Exp Mech 52(9):1483–1492

    Article  Google Scholar 

  4. Carter JLW, Uchic MD, Mills MJ (2015) Impact of speckle pattern parameters on dic strain resolution calculated from in-situ sem experiments. In: Fracture, fatigue, failure, and damage evolution, vol 5. Springer, pp 119–126

  5. Jin H, Wei-Yang L u, Haldar S, Bruck HA (2011) Microscale characterization of granular deformation near a crack tip. J Mater Sci 46(20):6596–6602

    Article  Google Scholar 

  6. Patriarca L, Abuzaid W, Sehitoglu H, Maier HJ (2013) Slip transmission in bcc fecr polycrystal. Mater Sci Eng: a 588:308–317

    Article  Google Scholar 

  7. Kammers AD, Daly S (2011) Small-scale patterning methods for digital image correlation under scanning electron microscopy. Meas Sci Technol 22(12):125501

    Article  Google Scholar 

  8. Kammers AD, Daly S (2013) Self-assembled nanoparticle surface patterning for improved digital image correlation in a scanning electron microscope. Exp Mech 53(8):1333–1341

    Article  Google Scholar 

  9. Kammers AD, Daly S (2013) Digital image correlation under scanning electron microscopy: methodology and validation. Exp Mech 53(9):1743–1761

    Article  Google Scholar 

  10. Gioacchino FD, da Fonseca JQ (2015) An experimental study of the polycrystalline plasticity of austenitic stainless steel. Int J Plast 74:92–109

    Article  Google Scholar 

  11. Guery A, Hild F, Latourte F, Roux S (2016) Slip activities in polycrystals determined by coupling dic measurements with crystal plasticity calculations. Int J Plast 81:249–266

    Article  Google Scholar 

  12. Book TA, Sangid MD (2016) Strain localization in ti-6al-4v widmanstätten microstructures produced by additive manufacturing. Mater Charact 122:104–112

    Article  Google Scholar 

  13. Sutton MA, Wolters WJ, Peters WH, Ranson WF, McNeill SR (1983) Determination of displacements using an improved digital correlation method. Image Vis Comput 1(3):133–139

    Article  Google Scholar 

  14. Peters WH, Ranson WF (1982) Digital imaging techniques in experimental stress analysis. Opt Eng 21(3):213427

    Article  Google Scholar 

  15. Sutton MA, Orteu JJ, Schreier H (2009) Image correlation for shape, motion and deformation measurements: basic concepts, theory and applications. Springer Science & Business Media, New York

    Google Scholar 

  16. Q Zhang H, Shi XW, Fan B (2020) A novel sampling moiré method and its application for distortion calibration in scanning electron microscope. Opt Lasers Eng 105990:127

    Google Scholar 

  17. Grediac M, Sur F, Blaysat B (2016) The grid method for in-plane displacement and strain measurement: A review and analysis. Strain 52(3):205–243

    Article  Google Scholar 

  18. Badulescu C, Grédiac M, Mathias JD (2009) Investigation of the grid method for accurate in-plane strain measurement. Meas Sci Technol 20(9):095102

    Article  Google Scholar 

  19. Badulescu C, Bornert M, Dupré J-C, Equis S, Grediac M, Molimard J, Picart P, Rotinat R, Valle V et al (2013) Demodulation of spatial carrier images: Performance analysis of several algorithms using a single image. Exp Mech 53(8):1357–1370

    Article  Google Scholar 

  20. Grediac M, Blaysat B, Sur F (2019) A robust-to-noise deconvolution algorithm to enhance displacement and strain maps obtained with local dic and lsa. Exp Mech 59(2):219–243

    Article  Google Scholar 

  21. Sur F, Blaysat B, Grediac M (2016) Determining displacement and strain maps immune from aliasing effect with the grid method. Opt Lasers Eng 86:317–328

    Article  Google Scholar 

  22. Grediac M, Sur F, Blaysat B (2016) Removing quasi-periodic noise in strain maps by filtering in the fourier domain. Exp Tech 40(3):959–971

    Article  Google Scholar 

  23. Toussaint E, Fournely E, Moutou Pitti R, Grédiac M (2016) Studying the mechanical behavior of notched wood beams using full-field measurements. Eng Struct 113:277–286

    Article  Google Scholar 

  24. Dang D, Moutou Pitti R, Toussaint E, Grédiac M (2018) Investigating wood under thermo-hydromechanical loading at the ring scale using full-field measurements. Wood Sci Technol 52(6):1473–1493

    Article  Google Scholar 

  25. Grédiac M, Toussaint E (2013) Studying the mechanical behaviour of asphalt mixture with the grid method. Strain 49(1):1–15

    Article  Google Scholar 

  26. Grédiac M, Toussaint E, Petit C, Millien A, Ngyuen DC (2014) A comparative study of the heterogeneous local mechanical response of two types of asphalt mixes. Mater Struct 47(9):1513–1529

    Article  Google Scholar 

  27. Teguedi MC, Toussaint E, Blaysat B, Moreira S, Liandrat S, Grédiac M (2017) Towards the local expansion and contraction measurement of asphalt exposed to freeze-thaw cycles. Construct Build Mater 154:438–450

    Article  Google Scholar 

  28. Teguedy MC, Blaysat B, Toussaint E, Moreira S, Liandrat S, GréDiac M (2018) Investigation of the tensile behavior of recycled asphalts in the small-strain domain with the grid method. Exp Mech 58(8):1291–1304

    Article  Google Scholar 

  29. Teguedi MC, Blaysat B, Toussaint E, Moreira S, Liandrat S, Grédiac M (2016) Applying a full-field measurement technique for studying the local deformation in reclaimed asphalt pavements. Construct Build Mater 121:547–558

    Article  Google Scholar 

  30. Sun S, Grédiac M, Toussaint E, Mathias J-D, Mati-Baouche N (2015) Applying a full-field measurement technique to characterize the mechanical response of a sunflower-based biocomposite. Exp Mech 55(5):917–934

    Article  Google Scholar 

  31. Balandraud X, Barrera N, Biscari P, Grédiac M, Zanzotto G (2015) Strain intermittency in shape-memory alloys. Phys Rev B 91(17):174111

    Article  Google Scholar 

  32. Toussaint ES, Bouchair DA, Grediac M (2017) Strain measurements and analyses around the bolt holes of structural steel plate connections using full-field measurements. Eng Struct 131:148–162

    Article  Google Scholar 

  33. Pitti RM, Badulescu C, Grédiac M (2014) Characterization of a cracked specimen with full-field measurements: direct determination of the crack tip and energy release rate calculation. Int J Fract 187 (1):109–121

    Article  Google Scholar 

  34. Sur F, Grédiac M (2015) On noise reduction in strain maps obtained with the grid method by averaging images affected by vibrations. Opt Lasers Eng 66:210–222

    Article  Google Scholar 

  35. Sur F, Grédiac M (2015) Measuring the noise of digital imaging sensors by stacking raw images affected by vibrations and illumination flickering. SIAM J Imag Sci 8(1):611–643

    Article  MathSciNet  MATH  Google Scholar 

  36. Sur F, Grediac M (2014) Sensor noise modeling by stacking pseudo-periodic grid images affected by vibrations. IEEE Signal Process Lett 21(4):432–436

    Article  Google Scholar 

  37. Sutton MA, Li N, Garcia D, Cornille N, Orteu JJ, McNeill SR, Schreier HW, Li X (2006) Metrology in a scanning electron microscope: theoretical developments and experimental validation. Meas Sci Technol 17(10):2613

    Article  Google Scholar 

  38. Sutton MA, Li N, Joy DC, Reynolds AP, Li X (2007) 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

    Article  Google Scholar 

  39. Sutton MA, Li N, Garcia D, Cornille N, Orteu J-J, McNeill SR, Schreier H, 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. Exp Mech 47(6):789–804

    Article  Google Scholar 

  40. Jin H, Haldar S, Bruck HA, Lu W-Y (2011) Grid method for microscale discontinuous deformation measurement. Exp Mech 51(4):565–574

    Article  Google Scholar 

  41. Sur F, Grediac M (2016) Influence of the analysis window on the metrological performance of the grid method. J Math Imaging Vis 56(3):472–498

    Article  MathSciNet  MATH  Google Scholar 

  42. Grafarend EW (2006) Linear and nonlinear models: fixed effects, random effects, and mixed models de Gruyter

  43. Sur F, Grediac M (2014) Towards deconvolution to enhance the grid method for in-plane strain measurement. Inverse Probl Imaging 8(1):259–291

    Article  MathSciNet  MATH  Google Scholar 

  44. Herráez MA, Burton DR, Lalor MJ, Gdeisat MA (2002) Fast two-dimensional phase-unwrapping algorithm based on sorting by reliability following a noncontinuous path. Appl Opt 41(35):7437–7444

    Article  Google Scholar 

  45. Gonzalez RC, Woods RE, Eddins SL (2004) Digital image processing using MATLAB. Pearson Education India

  46. Wu D, Xie H, Li C, Wang R (2014) Application of the digital phase-shifting method in 3d deformation measurement at micro-scale by sem. Meas Sci Technol 25(12):125002

    Article  Google Scholar 

  47. Grédiac M, Toussaint E, Petit C, Millien A, Ngyuen DC (2014) A comparative study of the heterogeneous local mechanical response of two types of asphalt mixes. Mater Struct 47(9):1513–1529

    Article  Google Scholar 

  48. Grediac M, Sur F, Badulescu C, Mathias J-D (2013) Using deconvolution to improve the metrological performance of the grid method. Opt Lasers Eng 51(6):716–734

    Article  Google Scholar 

  49. Grédiac M, Blaysat B, Sur F (2017) A critical comparison of some metrological parameters characterizing local digital image correlation and grid method. Exp Mech 57(6):871–903

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the surface analysis lab staff of the Utah Nanofab facility at the University of Utah, Dr. Randy Polson, Dr. Paulo Perez and Dr. Brian Van Devener for the provided training. This work has also made use of University of Utah USTAR shared facilities supported,in part, by the MRSEC program of the NSF under award No. DMR-1121252. The authors would also like to thank Dr. Amanda Funai for providing valuable feedback on the article. Financial support was provided by a University of Utah Research Incentive Seed Grant Award.

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Correspondence to H. Mirmohammad.

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Mirmohammad, H., Kingstedt, O. Theoretical Considerations for Transitioning the Grid Method Technique to the Microscale. Exp Mech 61, 753–770 (2021). https://doi.org/10.1007/s11340-020-00684-4

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