3D Studies of Damage by Combined X-ray Tomography and Digital Volume Correlation

Marrow, James; Reinhard, Christina; Vertyagina, Yelena; Saucedo-Mora, Luis; Collins, David M.; Mostafavi, Mahmoud

doi:10.1016/j.mspro.2014.06.251

Cited by 19 publications

(8 citation statements)

References 18 publications

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“…The correlation algorithm used was least-squares matching with B-spline-6 extrapolation and a 50% valid pixels per subset requirement. 5 Less than the full field of view was used for all tests (approximately 50%) to ensure that the region of interest was not cropped at inclined positions. The region analysed with DIC and available for J-integral analysis was the area of the specimen located between the fixture halves, 8 mm from the clamps and 3 mm from the crack tip to ensure even stress distributions through the thickness of the specimen ( Figure 9C).…”

Section: Pure Mode I Ii and Iii Resultsmentioning

confidence: 99%

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Mode I–III Decomposition of the J‐integral from DIC Displacement Data

Molteno

Becker

2015

Strain

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This paper presents the implementation of the decomposition method on digital image correlation (DIC) obtained displacement fields to obtain J-integral results (J) and respective stress intensity factors (SIFs). DIC is increasingly used with the J-integral approach in experimental mechanics to obtain J estimates from complex fracture processes. In this approach, the decomposition method is applied to DIC displacement fields for the first time. Here, displacement fields are separated before stresses and strains are computed, so that subsequent computation of separate J or SIF components may follow the classical full-field J-integral approach. The sensitivity of the decomposition method to experimental errors is investigated using synthetically generated errors imposed on crack tip displacement fields (Williams' series), from which improvements to the procedure are proposed. The method is experimentally tested on PMMA Arcan specimens under mode I, II, and III, and mixed-mode I-III loading. Test results were compared to fracture toughness values obtained from ASTM tests and literature with close agreement.

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Section: Pure Mode I Ii and Iii Resultsmentioning

confidence: 99%

“…The change in K I,II values between image captures was measured to be equal and constant during testing at ΔK I, II = 0.01 MPa.m 1/2 (K III is constant). 5 Values outside this range cause the correlation of the subset to fail. Figure 11A and B.…”

Section: Pure Mode I Ii and Iii Resultsmentioning

confidence: 99%

Mode I–III Decomposition of the J‐integral from DIC Displacement Data

Molteno

Becker

2015

Strain

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“…Research works are still very active and versatile in the experimental mechanics field. Deformation and fracture are still common interest for metals and alloys [ 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 ], foams and porous materials [ 11 , 14 , 43 , 44 , 45 , 46 ], and composites [ 13 , 47 , 48 , 49 ]. XRT has also been considerably extended with other in situ measurements including materials processing [ 50 , 51 , 52 , 53 , 54 , 55 ], materials interaction with specified conditions involving extreme temperature [ 56 , 57 ], corrosion [ 58 , 59 , 60 ], electrochemical environments, as in batteries [ 61 , 62 , 63 ], etc.…”

Section: Introductionmentioning

confidence: 99%

Correlation of Materials Property and Performance with Internal Structures Evolvement Revealed by Laboratory X-ray Tomography

Zhang

Wang

2018

Materials

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Although X-rays generated from a laboratory-based tube cannot be compared with synchrotron radiation in brilliance and monochromaticity, they are still viable and accessible in-house for ex situ or interrupted in situ X-ray tomography. This review mainly demonstrates recent works using laboratory X-ray tomography coupled with the measurements of properties or performance testing under various conditions, such as thermal, stress, or electric fields. Evolvements of correlated internal structures for some typical materials were uncovered. The damage features in a graded metallic 3D mesh and a metallic glass under mechanical loading were revealed and investigated. Micro-voids with thermal treatment and void healing phenomenon with electropulsing were clearly demonstrated and quantitatively analyzed. The substance transfer around an electrode of a Li-S battery and the protective performance of a Fe-based metallic glass coating on stainless steel were monitored through electrochemical processes. It was shown that in situ studies of the laboratory X-ray tomography were suitable for the investigation of structure change under controlled conditions and environments. An extension of the research for in situ laboratory X-ray tomography can be expected with supplementary novel techniques for internal strain, global 3D grain orientation, and a fast tomography strategy.

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“…Therefore, the 3D imaging technique shares its simplicity in terms of principles and effectiveness when it comes to applications with the well-established DIC method [14,15]. Since the DVC technique was first applied in the field of medical biology, various materials including bones [12,16], soft materials [17,18], wood [19], sand [20], and ceramic [21] are characterized by the 3D image analysis.…”

Section: Introductionmentioning

confidence: 99%

DVC analysis of a polymer material subjected to tensile loading with synchrotron radiation tomography

2020

Polymer Testing

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Subsurface deformation behavior of a polymeric material is studied through the digital volume correlation (DVC) technique. Fundamental principles of the DVC technique are presented and the supplemental state-of-the-art algorithmic schemes to improve the efficiency and accuracy of the DVC analysis are also introduced. Tensile tests on an epoxy material are performed in conjunction with synchrotron radiation tomography. In order to create randomly distributed grayscale values in the tomograms for the following image analysis, microscale highdensity particles are embedded when the epoxy specimens are fabricated. 3D tomographic images taken at multiple loading steps are utilized for the DVC analysis. The performance of the present DVC analysis is evaluated with the experimental data.

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3D Studies of Damage by Combined X-ray Tomography and Digital Volume Correlation

Cited by 19 publications

References 18 publications

Mode I–III Decomposition of the J‐integral from DIC Displacement Data

Mode I–III Decomposition of the J‐integral from DIC Displacement Data

Correlation of Materials Property and Performance with Internal Structures Evolvement Revealed by Laboratory X-ray Tomography

DVC analysis of a polymer material subjected to tensile loading with synchrotron radiation tomography

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