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High-resolution computed tomography in resin infused woven carbon fibre composites with voids
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Applied Mechanics. GKN Aerosp, SE-46181 Trollhattan, Sweden..
Univ Southampton, Fac Engn & Environm, Mat Res Grp, Southampton, Hants, England..
Brigham Young Univ, Mfg Engn Technol, Provo, UT 84602 USA..
Brigham Young Univ, Mfg Engn Technol, Provo, UT 84602 USA..
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2016 (English)In: Composites Science And Technology, ISSN 0266-3538, E-ISSN 1879-1050, Vol. 131, 12-21 p.Article in journal (Refereed) Published
Abstract [en]

Tomographic imaging using both microfocus radiation and synchrotron radiation was performed to assess the void defects in resin transfer moulded woven carbon fibre composites. The focus of this study is on characterising the void homology (e.g. local void size and spatial distribution) in relation to weave orientation, infusion direction and potential effects on damage formation in tensile loading. As the orientation angle between the fibre direction of unidirectional layer in the laminate and the direction of the global resin flow increases, from parallel to perpendicular, larger voids and a greater volume fraction of voids were observed, which led to increased damage formation upon loading. Significant accumulation of voids around both the layer interfaces and yarn fibres were also observed. With regard to yarn design, it is recommended to balance the benefits (e.g. fabric handling, structural integrity of preform) and drawbacks (e.g. lower fibre content, more voids) of the supporting yarn. Also, sensible placement of resin inlets and outlets could reduce the amount of deleterious voids, i.e. by promoting resin flow along the fibre direction in the most defect-sensitive off-axis layers.

Place, publisher, year, edition, pages
2016. Vol. 131, 12-21 p.
Keyword [en]
Textile composites, Defects, Porosity/voids, Resin transfer moulding (RTM), X-ray computed tomography (CT)
National Category
Engineering and Technology
URN: urn:nbn:se:uu:diva-302682DOI: 10.1016/j.compscitech.2016.05.010ISI: 000380418100002OAI: oai:DiVA.org:uu-302682DiVA: diva2:970793
Available from: 2016-09-14 Created: 2016-09-08 Last updated: 2016-09-14Bibliographically approved

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Sisodia, Sanjay M.Gamstedt, Kristofer
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