2018
DOI: 10.1016/j.compositesa.2018.08.032
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Evaluating the number of fibre orientations required in homogenization schemes to predict the elastic response of long fibre sheet moulding compound composites from X-ray computed tomography measured fibre orientation distributions

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Cited by 11 publications
(4 citation statements)
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“…The fiber length and distribution in the fiber‐reinforced melt are closely related to process parameters, which also have an important impact on the cell structure, EMI SE, and mechanical properties of the composite. Different fiber distribution results in different performance 19,26–28 . Figure 2(a) shows three different specimen positions of the composites and Figure 2(b) gives the histogram of CF length of solid and foamed CF/PP composites in the same condition.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The fiber length and distribution in the fiber‐reinforced melt are closely related to process parameters, which also have an important impact on the cell structure, EMI SE, and mechanical properties of the composite. Different fiber distribution results in different performance 19,26–28 . Figure 2(a) shows three different specimen positions of the composites and Figure 2(b) gives the histogram of CF length of solid and foamed CF/PP composites in the same condition.…”
Section: Resultsmentioning
confidence: 99%
“…Different fiber distribution results in different performance. 19,[26][27][28] Figure 2(a) shows three different specimen positions of the composites and Figure 2(b) gives the histogram of CF length of solid and foamed CF/PP composites in the same condition. Overall, both have similar CF distribution and shorter fiber length due to fiber breakage in screw.…”
Section: Fiber Length Distribution and Rheological Behaviormentioning
confidence: 99%
“…The position on the plate is defined by the center of each cuboid. A similar approach is described in [33] to evaluate the fiber orientation of SMC materials. In total, five positions were measured and evaluated to map the fiber orientation distribution over the whole plate.…”
Section: Methodsmentioning
confidence: 99%
“…Such data provide a method to build models that are based on actual microstructures, and there are many examples of this in the literature. For instance, Sabiston et al [26] established a Functionally Graded Interphase (FGI) model, using XCT-measured fibre orientation distributions, to predict the elastic response of long fibre sheet moulding compound composites. Straumit et al [27] applied image processing methods (structure tensor) to XCT images to construct realistic models of woven carbon-epoxy composites.…”
Section: Introductionmentioning
confidence: 99%