2018
DOI: 10.1016/j.compositesa.2018.09.023
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Microcrack characterization in loaded CFRP laminates using quantitative two- and three-dimensional X-ray dark-field imaging

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Cited by 50 publications
(25 citation statements)
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“…Such a phase/dark-field retrieval approach that incorporates dark-field effects might benefit samples from a range of fields including materials development (e.g. micro-crack detection in high-strength materials 90 ) and biomedical imaging (e.g. diagnostic imaging of the lungs 91 ).…”
Section: Discussionmentioning
confidence: 99%
“…Such a phase/dark-field retrieval approach that incorporates dark-field effects might benefit samples from a range of fields including materials development (e.g. micro-crack detection in high-strength materials 90 ) and biomedical imaging (e.g. diagnostic imaging of the lungs 91 ).…”
Section: Discussionmentioning
confidence: 99%
“…Current research is largely focused on the application of TLGI-XCT for medical diagnosis of chronic obstructive pulmonary diseases [38,39] and breast cancer [40,41] but also industrial applications such as the visualization of micro-cracks [42][43][44][45] and fiber orientation in (short-) CFRP [46][47][48][49]. For that purpose, continuous developments regarding the optimization of gratings [50,51], interferometer setup [52,53] and reconstruction methods [54,55] as well as image processing and visualization [56,57] are still necessary in order to tackle the limitations of the technology [58].…”
Section: Introductionmentioning
confidence: 99%
“…Non-destructive methods are an effective tool to detect and control the damage evolution before failure caused by manufacturing defects or fatigue loading. To monitor the damage state in polymer matrix laminated structures, many characterization techniques are available nowadays, but the most widely used techniques are ultrasonic C-scan [ 36 , 39 ], X-ray radiography [ 33 , 40 , 41 , 42 ], acoustic emission [ 43 , 44 ], ultrasonic testing [ 45 , 46 ], infrared thermography (IRT) [ 47 , 48 , 49 ] and Digital Image Correlation (DIC) [ 26 , 37 , 50 , 51 ]. The non-destructive techniques also help us to develop and validate damage progression models used to predict the damage occurring prior to failure [ 27 , 28 , 52 ].…”
Section: Introductionmentioning
confidence: 99%