X-ray Microtomography under Loading and 3D-Volume Digital Image Correlation. A Review

Abstract

In this review paper the synergistic combination of X-ray microtomography, in situ mechanical tests on material samples and full-field kinematic measurements by 3D-Volume Digital Image Correlation is discussed. First, basic features are outlined, concerning X-ray microtomography by either laboratory sources or synchrotron radiation. The main equations for 3D-Volume Digital Image Correlation are then presented, and different provisions regularizing the ill-posed problem of motion estimation are outlined. Thereafter, a survey of the state of the art is provided, with reference to a variety of biological and engineering materials. Limitations and perspectives of the proposed methodology in diverse applications are highlighted. The rapid growth of this research topic is emphasized, due to the truly multi-disciplinary vocation, the synergy between algorithmic and technological solutions, a fusion of experiments and numerical methods.

Morphological evolution and internal strain mapping of pomelo peel using X-ray computed tomography and digital volume correlation

“…resistance performance, has not been reported so far. Taking advantage of more accessible volumetric imaging devices, greatly increased computational power of modern computers and constantly refined imaging processing algorithms, digital volume correlation (DVC) [16][17][18] has experienced rapid growth in recent years and evolved into a powerful internal strain mapping technique. In combination with X-ray micro-computed tomography (micro-CT) imaging technique that allows to visualize internal micro-architectures of a specimen [19][20][21][22][23], DVC can provide data needed to characterize the mechanical behavior of materials in response to external loadings.…”

Analysis, Design and Realization of a Furnace for In Situ Wettability Experiments at High Temperatures under X-ray Microtomography

“…As is well known, the Xray beams, generated from a synchrotron source or by a laboratory tube, can penetrate an opaque sample; the attenuated images, revealed by a scintillator and digitized by a camera, through the tomographic inversion, provide information on the bulk material, to be interpreted in a qualitative or a quantitative fashion; see [2,3]. In situ experiments, namely, tests monitored in real time by an X-ray system, represent well-established, modern techniques in diverse disciplines, favored by the improved spatio-temporal resolution (down to submicron and millisecond scales), although the big amount of data often requires off-line processing [4]. Among the numerous contributions available in the recent literature, we can mention the following: Hameed et al [5], investigating the damage mechanisms in SiC f /SiC samples under in situ compression loading at room temperature; Patterson et al [6], who studied the mechanical response of hyperelastic polymer foams by a loading apparatus utilizing a polymethyl methacrylate (PMMA) shell to reduce the attenuation; the research [7] by Zambrano et al, where the flow of the deionized water in grainstone samples was monitored through 2D dynamic radiography and 3D tomography by a spallation neutron source, with bimodal imaging (X-rays and neutrons, sequentially); the study [8] by Tötzke et al, who made recourse to an ultrafast neutron tomography to track the dynamic water flows through a porous soil column.…”

Anisotropic self-adaptive digital volume correlation with optimal cuboid subvolumes

“…Digital volume correlation (DVC) is a powerful image-based experimental technique that can extract truly internal full-field displacement and strain from two volumetric images recorded at different states [1][2][3][4][5]. In using subvolume-based local DVC, a cubic subvolume with adequate grayscale variations should be first specified for each measurement point [6][7][8][9][10][11] defined in the reference volumetric image.…”