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dc.contributor.authorRathore, Jitendra Singh
dc.contributor.authorKonopczyński, Tomasz
dc.contributor.authorHesser, Jürgen
dc.contributor.authorLucchetta, Giovanni
dc.contributor.authorCarmignato, Simone
dc.date.accessioned2022-02-04T14:22:28Z
dc.date.available2022-02-04T14:22:28Z
dc.date.copyright2020/02/05/
dc.date.issued2020
dc.identifier.issn2572-3901
dc.identifier.othernde_3_2_021004.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4273530
dc.description.abstractQuantitative assessment of fiber characteristics in composite parts is of great significance in order to correlate them with the fiber-induced mechanical properties. X-ray computed tomography (CT) is being successfully used as a three-dimensional nondestructive measuring technique for the analysis of fiber characteristics (mainly the fiber orientation and fiber volume content) in fiber-reinforced composite materials. However, the accuracy of such analyses depends on various factors (e.g., scanning parameters, resolution), which is the motivation for this study. The current work investigates the effect of CT scanning parameters and spatial resolution on the obtained fiber orientation and fiber volume content. First a simulation study is carried out using a computationally generated fiber composite model followed by a validation using a thin-wall injection-molded part. The findings showed that the effect of CT settings is not significant on the measurements, but the resolution affects the estimated fiber volume content adversely. A preliminary error calculation method is proposed for correcting the overestimation in the fiber volume content.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleInvestigation on Tomographic-Based Nondestructive Characterization of Short Glass Fiber-Reinforced Composites as Obtained From Micro Injection Molding
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue2
dc.journal.titleJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
dc.identifier.doi10.1115/1.4046000
dc.page21004
dc.treeJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems:;2020:;volume( 003 ):;issue: 002
dc.contenttypeFulltext


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