Speckle pattern optimization for DIC technologies

Authors

  • Szabolcs Szalai Széchenyi István University, Department of Vehicle Manufacturing, Egyetem tér 1, 9026 Győr, Hungary
  • Gábor Dogossy Széchenyi István University, Department of Materials Science and Engineering, Egyetem tér 1, 9026 Győr, Hungary

DOI:

https://doi.org/10.14513/actatechjaur.00573

Keywords:

speckle pattern, digital image correlation (DIC), paint , airbrush

Abstract

This paper contains the relation between speckle pattern and Digital Image Correlation (DIC). The most important advance in experimental mechanics has been DIC since the strain gage. The deformation (strain) of an object can be visualized by DIC. Among all scientific fields, the DIC Technologies have seen a dynamic increase. The relationship between the paint and the sample - as the patterns mediate the deformation to the cameras - has been the most important technological issue. In this article the method developed for the detection of isolated particles in alloys is used to characterize the spots, which help the best speckle pattern has determined.

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References

M. A. Sutton, J. J. Orteu et al., Introduction to digital image correlation: Best practices and applications, Experimental Techniques 36 (1) (2012) pp. 3–4. doi: https://doi.org/10.1111/j.1747-1567.2011.00798.x

Y. L. Dong, B. Pan, A Review of Speckle Pattern Fabrication and Assessment for Digital Image Correlation, Experimental Mechanics 57 (8) (2017) pp. 1161–1181. doi: https://doi.org/10.1007/s11340-017-0283-1

S. Gualtieri, Novel technique for DIC speckle pattern optimization and generation, Thesis, Polotecnico di Milano (2012).

D. Lecompte, A. Smits et al., Quality assessment of speckle patterns for digital image correlation, Optics and Lasers in Engineering 44 (11) (2006) pp. 1132–1145. doi: https://doi.org/10.1016/j.optlaseng.2005.10.004

A. Freddi, G. Olmi, L. Cristofolini, Experimental Stress Analysis for Materials and Structures - Stress Analysis Models for Developing Design Methodologies, Springer, New York City, 2015. doi: https://doi.org/10.1007/978-3-319-06086-6

Application Note AN-1701 – Speckle Pattern Fundamentals, Correlated Solutions, 2018.

P. Reu, All about speckles: Aliasing, Experimental Techniques 38 (5) (2014) pp. 1–3. doi: https://doi.org/10.1111/ext.12111

P. Reu, All about speckles: Speckle density, Experimental Techniques 39 (3) (2015) pp. 1–2. doi: https://doi.org/10.1111/ext.12161

P. Reu, All about speckles: Edge sharpness, Experimental Techniques 39 (2) (2015) pp. 1–2. doi: https://doi.org/10.1111/ext.12139

P. Reu, Calibration: A good calibration image, Experimental Techniques 37 (6) (2013) pp. 1–3. doi: https://doi.org/10.1111/ext.12059

P. Reu, Points on Paint, Experimental Techniques 39 (4) (2015) pp. 1–2. doi: https://doi.org/10.1111/ext.12147

P. Reu, Speckles and their relationship to the digital camera, Experimental Techniques 38 (4) (2014) pp. 1–2. doi: https://doi.org/10.1111/ext.12105

P. Reu, Virtual Strain Gage Size Study, Experimental Techniques 39 (5) (2015) pp. 1–3. doi: https://doi.org/10.1111/ext.12172

P. Reu, All about speckles: Contrast, Experimental Techniques 39 (1) (2015) pp. 1–2. doi: https://doi.org/10.1111/ext.12126

P. Reu, All about speckles: Speckle Size Measurement, Experimental Techniques 38 (6) (2014) pp. 1–2. doi: https://doi.org/10.1111/ext.12110

G. Crammond, S. W. Boyd, J. M. Dulieu-Barton, Speckle pattern characterisation for high resolution digital image correlation, Applied Mechanics and Materials 70 (2011) pp. 261–266. doi: https://doi.org/10.4028/www.scientific.net/AMM.70.261

W. S. LePage, J. A. Shaw, J. A., S. H. Daly, Optimum Paint Sequence for Speckle Patterns in Digital Image Correlation, Experimental Techniques, 41(5) (2017) pp. 557–563. doi: https://doi.org/10.1007/s40799-017-0192-3

CSI Application Note AN-525 – Speckle Pattern Fundamentals, Correlated Solutions, 2014.

G. Lionello, L. Cristofolini, A practical approach to optimizing the preparation of speckle patterns for digital-image correlation, Measurement Science and Technology 25 (10) (2014) (107001).

J. L. W. Carter, M. D. Uchic, M. J. Mills, Impact of Speckle Pattern Parameters on DIC Strain Resolution Calculated from In-situ SEM Experiments. In: J. Carroll, S. Daly (eds) Fracture, Fatigue, Failure, and Damage Evolution, Volume 5. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham, 2015, pp. 119-126. doi: https://doi.org/10.1007/978-3-319-06977-7_16

G. F. Bomarito, J. D. Hochhalter et al., Increasing accuracy and precision of digital image correlation through pattern optimization, Optics and Lasers in Engineering 91 (2017) pp. 73–85. doi: https://doi.org/10.1016/j.optlaseng.2016.11.005

B. Pan, Z. Lu, H. Xie, Mean intensity gradient: An effective global parameter for quality assessment of the speckle patterns used in digital image correlation, Optics and Lasers in Engineering 48 (4) (2010) pp. 469–477. doi: https://doi.org/10.1016/j.optlaseng.2009.08.010

P. Reu, The Art and Application of DIC; DIC: A Revolution in Experimental Mechanics, Experimental Techniques 39 (6) (2015) pp. 1–2. doi: https://doi.org/10.1111/ext.12173

T. Réti, Qualification of morphological similarity of microscopic tissue images by image analysis procedure, BKL – Kohászat 116 (1) (1983) pp. 17-25, in Hungarian.

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Published

2021-04-26

How to Cite

Szalai, S., & Dogossy, G. (2021). Speckle pattern optimization for DIC technologies. Acta Technica Jaurinensis, 14(3), 228–243. https://doi.org/10.14513/actatechjaur.00573

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Section

Research articles