Topic
Digital image correlation
About: Digital image correlation is a research topic. Over the lifetime, 7842 publications have been published within this topic receiving 132166 citations.
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TL;DR: In this article, an experimental approach to discriminate models describing the mechanical behavior of polymeric materials is presented, where the authors focus on the particular case of hyper-elastic models to simulate the behavior of a rubber-like material.
Abstract: We present an experimental approach to discriminate models describing the mechanical behavior of polymeric materials A biaxial loading condition is obtained in a multiaxial testing machine An evaluation of the displacement field obtained by digital image correlation allows us to evaluate the heterogeneous strain field observed during these tests We focus on the particular case of hyper-elastic models to simulate the behavior of a rubber-like material Different expressions of hyper-elastic potential are used to model experiments under uniaxial and biaxial loading conditions
197 citations
TL;DR: In this article, an artificial speckle pattern was generated by the remodelling of a deposited gold layer, which accelerated the remodeling process and promoted the formation of finer nano-scale speckles with sizes ranging 30 nm to 150 nm and of similar spacing.
Abstract: Digital image correlation (DIC) of images obtained using scanning electron microscopy has been used to study, quantitatively, the plastic deformation of stainless steel at the microstructural scale. An artificial speckle pattern was generated by the remodelling of a deposited gold layer. A new experimental setup was shown to accelerate the remodelling process and promote the formation of finer nano-scale speckles with sizes ranging 30 nm to 150 nm and of similar spacing. The effects of surface preparation on speckle morphology are discussed. The high density of speckles enabled displacement mapping with resolution of one displacement vector each 0.2 × 0.2 μm2 of surface area. It is shown that sub-micron resolution is necessary to capture the plastic deformation associated with the formation of slip bands in stainless steel, which are an important component of the deformation of these materials at the microscale. Electron backscatter diffraction (EBSD) was used to reconstruct the surface grain boundaries and enabled these deformation features to be linked to the microstructure.
196 citations
TL;DR: A concise study of 3D reconstructed resolution of a small, low-contrast, absorbing and scattering anomaly as it is placed in different locations within a cylindrical phantom.
Abstract: Near-infrared (NIR) optical tomography can provide estimates of the internal distribution of optical absorption and transport scattering from boundary measurements of light propagation within biological tissue. Although this is a truly three-dimensional (3D) imaging problem, most research to date has concentrated on two-dimensional modeling and image reconstruction. More recently, 3D imaging algorithms are demonstrating better estimation of the light propagation within the imaging region and are providing the basis of more accurate image reconstruction algorithms. As 3D methods emerge, it will become increasingly important to evaluate their resolution, contrast, and localization of optical property heterogeneity. We present a concise study of 3D reconstructed resolution of a small, low-contrast, absorbing and scattering anomaly as it is placed in different locations within a cylindrical phantom. The object is an 8-mm-diameter cylinder, which represents a typical small target that needs to be resolved in NIR mammographic imaging. The best resolution and contrast is observed when the object is located near the periphery of the imaging region (12–22 mm from the edge) and is also positioned within the multiple measurement planes, with the most accurate results seen for the scatter image when the anomaly is at 17 mm from the edge. Furthermore, the accuracy of quantitative imaging is increased to almost 100% of the target values when a priori information regarding the internal structure of imaging domain is utilized.
193 citations
01 Jan 2008
192 citations
TL;DR: In this paper, the influence of the adopted correlation function, the interpolation order, the shape function and the subset size on the derived displacements were investigated using numerically deformed images that were obtained by imposing finite element displacement fields on an undeformed image yielding plastic deformation of the specimen.
191 citations