2016
DOI: 10.1016/j.compositesb.2016.04.040
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Automated detection of yarn orientation in 3D-draped carbon fiber fabrics and preforms from eddy current data

Abstract: Ensuring the correct fiber orientation in draped textiles and 3D preforms is one of the current challenges in the production of carbon-fiber reinforced plastics (CFRP), especially in resin transfer molding (RTM). Small deviations in fiber angle during preforming have a considerable effect on the mechanical properties of the final composite. Therefore, this paper presents an automated method for determining local yarn orientation in three-dimensionally draped, multi-layered fabrics. The draped fabric is scanned… Show more

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Cited by 58 publications
(16 citation statements)
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“…This issue, which could obscure smaller peaks resulting from ply misalignments, is not observed in the RT analysis method. The FWHM will scale inversely with the number of pixels in the analysed data as demonstrated by Bardl et al [16], tending towards a minimum limit that will depend on the diameter of the inspection coil.…”
Section: Technique Comparisonmentioning
confidence: 82%
See 2 more Smart Citations
“…This issue, which could obscure smaller peaks resulting from ply misalignments, is not observed in the RT analysis method. The FWHM will scale inversely with the number of pixels in the analysed data as demonstrated by Bardl et al [16], tending towards a minimum limit that will depend on the diameter of the inspection coil.…”
Section: Technique Comparisonmentioning
confidence: 82%
“…and use the signal strength at particular orientations to infer stacking sequences making the assumption that weaker orientation signals are deeper in the material [28,16]. This approach overlooks the full information encoded into the complex values and could misrepresent the structure of more complex stacking sequences.…”
Section: Ply Structurementioning
confidence: 99%
See 1 more Smart Citation
“…The detailed approaches are depicted in Figure 5. 16,17
Figure 5.Procedure for determination of (a) cross section and void content; (b) fiber angle distribution – from micro-CT images.
…”
Section: Methodsmentioning
confidence: 99%
“…Studies [106] have been conducted to show the capabilities of Eddy currents for defect detection in dry preforms. In 2014, Schmidt [31] investigated high frequency Eddy Current testing for online quality control of AFP parts.…”
Section: Eddy Current Testingmentioning
confidence: 99%