Development a mechanical system for digital image correlation in micro tensile-compression testing
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Author
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Van Duong LeThe University of Danang - University of Science and Technology, VietnamQuang Bang TaoThe University of Danang - University of Science and Technology, VietnamPhuoc Thanh TranThe University of Danang - University of Science and Technology, VietnamNgoc Anh Nguyen ThiThe University of Danang - University of Science and Education, Vietnam
Keywords:
Abstract
Digital Image Correlation (DIC) is a crucial Non-Destructive Testing (NDT) technique widely applied in various industrial fields due to its flexibility and high accuracy. However, the performance of DIC in micro tensile-compression testing systems is often constrained by the stability and adjustability of mechanical components, particularly camera mounting systems. This study presents a specialized mechanical structure incorporating locking mechanisms, rotational axes, and sliding components, enabling precise and flexible adjustments of the camera's position and orientation. Vibration resistance was prioritized to maintain stability during testing. Experimental results demonstrated notable advancements in positioning accuracy, operational flexibility, and vibration resistance compared to conventional systems. This design offers an effective solution for laboratory and industrial applications, contributing to advancements in non-destructive material testing technologies.
References
-
[1] Brownet al., “Destructive and non-destructive testing methods for characterization and detection of machining-induced white layer: A review paper”, CIRP Journal of Manufacturing Science and Technology, vol. 23, pp. 19-23, 2018. https://doi.org/10.1016/j.cirpj.2018.10.001.
[2] Lopez, R. Bacelar, I. Pires, T. G. Santos, J. P. Sousa, and L. Quintino, “Non-destructive testing application of radiography and ultrasound for wire and arc additive manufacturing”, Additive Manufacturing, vol. 21, pp. 298-306, 2018. https://doi.org/10.1016/j.addma.2018.03.020.
[3] Wang, S. Zhong, and J. Mi, “Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review”, Advances in Mechanical Engineering, vol. 12, no. 4, 2020. https://doi.org/10.1177/1687814020913761.
[4] Zhang and D. D. Arola, “Applications of digital image correlation tobiological tissues”, Journal of Biomedical Optics, vol. 9, pp. 691–699, 2004. https://doi.org/10.1117/1.1753270.
[5] Rossi, G. B. Broggiato, and S. Papalini, “Application of digital image correlation to the study of planar anisotropy of sheet metals at large strains”, Meccanica, vol. 43, pp. 185–199, 2008. https://doi.org/10.1007/s11012-008-9123-9.
[6] 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/Solid, vol. 20, pp. 169–187, 2005. https://doi.org/10.1016/S0997-7538(00)01135-9
[7] L. Wang, M. Bornert, E. Héripré, S. Chanchole, and A. Tanguy, “Fullfield measurements on low-strained geomaterials using environmental scanning electron microscopy and digital image correlation: improved imaging conditions”, Strain, vol. 50, pp. 370–380, 2014. https://doi.org/10.1111/str.12076
[8] C. Chu, W. F. Ranson, M. A. Sutton, and W. H. Peters, “Applications of digital image correlation techniques to experimental mechanics”, Experimental Mechanics, vol. 25, pp. 232–244, 1985. https://doi.org/10.1007/BF02325092T.
[9] A. Berfield, J. K. Patel, R. G. Shimmin, P. V. Braun, J. Lambros,
and N. R. Sottos, “Micro- and Nanoscale Deformation Measurement of Surface and Internal Planes via Digital Image Correlation”, Experimental Mechanics, vol. 45, pp. 51-62, 2007. https://doi.org/10.1007/s11340-006-0531-2.
[10] Gonzalez and W. G. Knauss, “Strain inhomogeneity and discontinuous crack growth in a particulate composite”, Journal of Mechanics and Physics of Solids, vol. 46, no. 10, pp. 1981–1995, 1998. https://doi.org/10.1016/S0022-5096(98)00037-4.
[11] Abanto-Bueno and J. Lambros, “Experimental determination of cohesive failure properties of a photodegradable copolymer”, Experimental Mechanics, vol. 45, no. 2, pp. 144–152, 2005. https://doi.org/10.1007/BF02428187.
[12] Vendroux, N. Schmidt, and W. G. Knauss, “Submicron deformation field measurements: Part 3. demonstration of deformation determinations”, Experimental Mechanics, vol. 38, no. 3, pp. 154–160, 1998. https://doi.org/10.1007/BF02325737.
[13] P. Rajan, M. N. Rossol, and F. W. Zok, “Optimization of Digital Image Correlation for High-Resolution Strain Mapping of Ceramic Composites”, Experimental Mechanics, vol. 52, pp. 1407-1421, 2012. https://doi.org/10.1007/s11340-012-9617-1.
[14] Chen, N. Zhan, X. Zhang, and J. Wang, “Improved extended digital image correlation for crack tip deformation measurement”, Optics and Lasers in Engineering, vol. 65, pp. 103-109, 2015. https://doi.org/10.1016/j.optlaseng.2014.06.010.
[15] S. Gregory, H. Olivia, and S. Sanjay, “In-situ observation of strain and cracking in coated laminates by digital image correlation”, Surface and Coatings Technology, vol. 328, pp. 211-218, 2017. https://doi.org/10.1016/j.surfcoat.2017.08.057.
[16] Palanca, M. Marco, M. L. Ruspi, and L. Cristofolini, “Full-field strain distribution in multi-vertebra spine segments: An in vitro application of digital image correlation”, Medical Engineering & Physics, vol. 52, pp. 76-83, 2018. https://doi.org/10.1016/j.medengphy.2017.11.003.
[17] R. Vora, B. Bognet, H. S. Patanwala, and C. D. Young, “Global strain field mapping of a particle-laden interface using digital image correlation”, Journal of Colloid and Interface Science, vol. 509, pp. 94-101, 2018. https://doi.org/10.1016/j.jcis.2017.08.082.
[18] Hosdez, J. F. Witz, C. Martel, N. Limodin, and F. Szmytka, “Fatigue crack growth law identification by digital image correlation and electrical potential method for ductile cast iron”, Engineering Fracture Mechanics, vol. 182, pp. 577-594, 2017. https://doi.org/10.1016/j.engfracmech.2017.05.037.
[19] Matsumoto, M. Kubota, and N. Miyazaki, “Development of deformation measurement system cosisting of high-speed camera and digital image correlation and its application to the measurement of large inhomogeneous deformations around the crack tip”, Experimental Techniques, vol. 40, pp. 91-100, 2013. https://doi.org/10.1007/s40799-016-0012-1.
[20] T. Nguyen, S. J. Kwon, O. H. Kwon, and Y. S. Kim, “Mechanical properties identification of sheet metals by 2D digital image correlation”, Procedia Engineering, vol. 184, pp. 381-389, 2017. https://doi.org/10.1016/j.proeng.2017.04.108.
[21] Orell et al., “Characterization of elastic constants of anisotropic composites in compression using digital image correlation”, Composite Structures, vol. 185, pp. 176-185, 2018. https://doi.org/10.1016/j.compstruct.2017.11.008.
[22] He, L. Liu, and A. Makeev, “Uncertainly analysis in composite material properties characterization using digital image correlation and finite element model updating”, Composite Structures, vol. 184, pp. 337-351, 2018. https://doi.org/10.1016/j.compstruct.2017.10.009.
[23] F. M. Sanchez-Arevalo and G. Pulos, “Use of digital image correlation to determine the mechanical behavior of materials”, Materials Characterization, vol. 89, pp. 1572-1579, 2008. https://doi.org/10.1016/j.matchar.2008.02.002

