Influence of the Paint Coating Thickness in Digital Image Correlation Experiments
In the past decade, the use of digital image correlation
(DIC) techniques has increased significantly in the area of
experimental mechanics, especially for materials behavior
characterization. This non-contact tool enables full field displacement
and strain measurements over a complete region of interest. The DIC
algorithm requires a random contrast pattern on the surface of the
specimen in order to perform properly. To create this pattern, the
specimen is usually first coated using a white matt paint. Next, a
black random speckle pattern is applied using any suitable method. If
the applied paint coating is too thick, its top surface may not be able
to exactly follow the deformation of the specimen, and consequently,
the strain measurement might be underestimated. In the present
article, a study of the influence of the paint thickness on the strain
underestimation is performed for different strain levels. The results
are then compared to typical paint coating thicknesses applied by
experienced DIC users. A slight strain underestimation was observed
for paint coatings thicker than about 30μm. On the other hand, this
value was found to be uncommonly high compared to coating
thicknesses applied by DIC users.
[1] M.A. Sutton, J.J. Orteu and H.W. Schreier, Image Correlation for
Shape, Motion and Deformation measurements, Springer
Science+Business Media, New York, USA, 2009.
[2] J. Kang, “Microscopic Strain Mapping Based on Digital Image
Correlation”, Society for Experimental Mechanics Inc., Proceedings of
the XI International Congress and Exposition, Orlando, Florida, June,
2008.
[3] J. Chen, G. Xia, K. Zhou, G. Xia and Y. Qin, “Two-step digital image
correlation for micro-region measurement”, Optics and Laser
Engineering, vol. 43, pp. 836-846, 2005.
[4] A. Piekarczuk, M. Malesa, M. Kujawinska and K. Malowany,
“Application of Hybrid FEM-DIC Method for Assessment of Low Cost
Building Structures” Experimental Mechanics, vol. 52, no. 9, pp. 1297-
1311, April 2012.
[5] N. McCormick and J. Lord, “Digital image correlation for structural
measurements” Proceedings of the Institution of Civil Engineers, vol.
165, Issue CE4, pp. 185-190, 2012.
[6] L. Chevalier, S. Calloch, F. Hild and Y. Marco, “Digital image
correlation used to analyze the multiaxial behavior of rubber-like
materials”, European Journal of Mechanics - A/Solids, vol. 20, no. 2, pp.
169-187, 2001.
[7] K. De Wilder, P. Lava, D. Debruyne, Y. Wang, G. De Roeck and L.
Vandewalle, “Experimental investigation on the shear capacity of
prestressed concrete beams using digital image correlation”, Engineering
Structures, vol. 82, pp. 82-92, Jan. 2015.
[8] M. A. Caminero, M. Lopez-Pedrosa, C. Pinna and C. Soutis, “Damage
Assessment of Composite Structures Using Digital Image Correlation”,
Applied Composite Materials, vol. 21, no. 1, pp. 91-106, Feb. 2014.
[9] J.A. Pérez, S. Coppieters, E. Alcalá, “Measuring Strain Concentrations
in Welded Junctions using Digital Image Correlation”, in Proc. of Young
welding Professionals International Conference, Budapest, 2014, pp.
17-23.
[10] P. Lava, S. Cooreman, D. Debruyne, “Study of systematic errors in
strain fields obtained via DIC using heterogeneous deformation
generated by plastic FEA”, in Optics and Lasers in Engineering, vol. 48,
no. 2, pp. 457-468, 2010.
[1] M.A. Sutton, J.J. Orteu and H.W. Schreier, Image Correlation for
Shape, Motion and Deformation measurements, Springer
Science+Business Media, New York, USA, 2009.
[2] J. Kang, “Microscopic Strain Mapping Based on Digital Image
Correlation”, Society for Experimental Mechanics Inc., Proceedings of
the XI International Congress and Exposition, Orlando, Florida, June,
2008.
[3] J. Chen, G. Xia, K. Zhou, G. Xia and Y. Qin, “Two-step digital image
correlation for micro-region measurement”, Optics and Laser
Engineering, vol. 43, pp. 836-846, 2005.
[4] A. Piekarczuk, M. Malesa, M. Kujawinska and K. Malowany,
“Application of Hybrid FEM-DIC Method for Assessment of Low Cost
Building Structures” Experimental Mechanics, vol. 52, no. 9, pp. 1297-
1311, April 2012.
[5] N. McCormick and J. Lord, “Digital image correlation for structural
measurements” Proceedings of the Institution of Civil Engineers, vol.
165, Issue CE4, pp. 185-190, 2012.
[6] L. Chevalier, S. Calloch, F. Hild and Y. Marco, “Digital image
correlation used to analyze the multiaxial behavior of rubber-like
materials”, European Journal of Mechanics - A/Solids, vol. 20, no. 2, pp.
169-187, 2001.
[7] K. De Wilder, P. Lava, D. Debruyne, Y. Wang, G. De Roeck and L.
Vandewalle, “Experimental investigation on the shear capacity of
prestressed concrete beams using digital image correlation”, Engineering
Structures, vol. 82, pp. 82-92, Jan. 2015.
[8] M. A. Caminero, M. Lopez-Pedrosa, C. Pinna and C. Soutis, “Damage
Assessment of Composite Structures Using Digital Image Correlation”,
Applied Composite Materials, vol. 21, no. 1, pp. 91-106, Feb. 2014.
[9] J.A. Pérez, S. Coppieters, E. Alcalá, “Measuring Strain Concentrations
in Welded Junctions using Digital Image Correlation”, in Proc. of Young
welding Professionals International Conference, Budapest, 2014, pp.
17-23.
[10] P. Lava, S. Cooreman, D. Debruyne, “Study of systematic errors in
strain fields obtained via DIC using heterogeneous deformation
generated by plastic FEA”, in Optics and Lasers in Engineering, vol. 48,
no. 2, pp. 457-468, 2010.
@article{"International Journal of Information, Control and Computer Sciences:70192", author = "Jesús A. Pérez and Sam Coppieters and Dimitri Debruyne", title = "Influence of the Paint Coating Thickness in Digital Image Correlation Experiments", abstract = "In the past decade, the use of digital image correlation
(DIC) techniques has increased significantly in the area of
experimental mechanics, especially for materials behavior
characterization. This non-contact tool enables full field displacement
and strain measurements over a complete region of interest. The DIC
algorithm requires a random contrast pattern on the surface of the
specimen in order to perform properly. To create this pattern, the
specimen is usually first coated using a white matt paint. Next, a
black random speckle pattern is applied using any suitable method. If
the applied paint coating is too thick, its top surface may not be able
to exactly follow the deformation of the specimen, and consequently,
the strain measurement might be underestimated. In the present
article, a study of the influence of the paint thickness on the strain
underestimation is performed for different strain levels. The results
are then compared to typical paint coating thicknesses applied by
experienced DIC users. A slight strain underestimation was observed
for paint coatings thicker than about 30μm. On the other hand, this
value was found to be uncommonly high compared to coating
thicknesses applied by DIC users.", keywords = "Digital Image Correlation, paint coating thickness,
strain.", volume = "9", number = "7", pages = "1660-5", }