Structurally stitched NCF CFRP laminates. Part 2: Finite element unit cell based prediction of in-plane strength

Heß, H.; Himmel, N.

doi:10.1016/j.compscitech.2010.11.011

Cited by 19 publications

(17 citation statements)

References 34 publications

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“…Nowadays composite materials offer the possibility of a weight reduction of a structure without decreasing its mechanical properties. Therefore cost‐efficient technologies for the manufacturing of high‐quality FRCP are of particular interest today .…”

Section: Introductionmentioning

confidence: 99%

Flow front advancement during composite processing: predictions from numerical filling simulation tools in comparison with real-world experiments

et al. 2015

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Liquid composite molding (LCM) techniques are innovative manufacturing processes for processing fiber reinforced polymer parts used e.g. for aerospace structures. Thereby the reinforcing material is placed in a mold and infiltrated with a low viscosity polymer matrix. Increasing production rates as well as part complexity lead to high production risks such as air inclusions or incomplete mold filling. Numerical mold filling simulations are promising tools enabling the composite manufacturing engineer to detect dry spots in the mold and find the optimal positions of the resin entry and ventilation system at an early process development stage. Today, different numerical models and software packages are available for modeling the flow through the reinforcing structure for visualization of the flow behavior. The goal of this study is the systematic comparison of two different software packages, namely PAM‐RTM® and OpenFOAM. Both software tools are operated as they are commonly foreseen. Real world experiments under real process conditions are the basis for the assessment of the numerical predictions. The resin transfer molding (RTM) experiments are executed in a tool with a transparent upper mold half in order to see the flow front advancement. POLYM. COMPOS., 37:2782–2793, 2016. © 2015 Society of Plastics Engineers

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Section: Introductionmentioning

confidence: 99%

Flow front advancement during composite processing: predictions from numerical filling simulation tools in comparison with real-world experiments

et al. 2015

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“…Increasing the thread diameter and the stitch density leads to a decrease of the in-plane properties combined with an improvement of the CAI strength and the G IR rate. Nevertheless, a proper selection of the stitching confi gurations allows achieving a useful compromise between both effects (Heß and Himmel, 2010b;Heß, 2009). A fi nite element based unit cell model was developed to predict in-plane stiffness and strength properties of unstitched and structurally stitched NCF composites.…”

Section: Conclusion and Future Trendsmentioning

confidence: 99%

“…14.13 and Fig. 14.14 , the elasticity and strength prediction is outlined, while for more detailed information, including the mathematical formalisms, the reader is referred to Heß and Himmel (2010b). The parametric model is capable of generating complex unit cells considering the number, thickness and fi bre orientation of the laminate layers, the cross-section and width of voids generated by the structural stitching, the stitch spacing, pitch length and stitching direction as well as the loading direction.…”

Section: Unit Cell Modelmentioning

confidence: 99%

Mechanical properties of structurally stitched non-crimp fabric composites

Himmel

Heß

2011

Non-Crimp Fabric Composites

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“…Tserpes et al and Yavari et al developed models in which the knitting yarn was represented by beam elements, thus the SYD characteristic was not represented in their models. While in the models reported by Heß et al and Mikhaluk et al , the knitting yarn diameter and the resin pocket were involved but the structure of the knitting yarn were omitted.…”

Section: Introductionmentioning

confidence: 99%

Multiscale modeling and tensile behavior analysis of uniaxial reinforced warp‐knitted composites

Yan

Tian

et al. 2018

Polymer Composites

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A parameterized unit cell model of uniaxial reinforced warp-knitted composites is established through Python programs. The knitting yarns in tricot organization and the Stich Yarn induced fiber Distortions (SYDs) are considered in the model. The phenomenon of uneven fiber content around the SYD areas is described using a hierarchical multiscale model. Longitudinal tensile experiments are performed on this material, and the results are consistent with the numerical prediction. The initial damage is mainly caused by the fiber fracture near the SYD areas, and the matrix between reinforcing yarns tends to crack along the fiber direction. The binding function of knitting yarns in the manufacturing process is highlighted through a failure mechanism comparison with the traditional uniaxial reinforced composites. The parameter analysis indicates that the content of knitting yarns has negative effects on the tensile properties of the material. In addition, the layer thickness has a positive effect on the longitudinal tensile stiffness and strength. These findings can be valuable guides for structural design and manufacture of warp-knitted composites.

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Structurally stitched NCF CFRP laminates. Part 2: Finite element unit cell based prediction of in-plane strength

Cited by 19 publications

References 34 publications

Flow front advancement during composite processing: predictions from numerical filling simulation tools in comparison with real-world experiments

Flow front advancement during composite processing: predictions from numerical filling simulation tools in comparison with real-world experiments

Mechanical properties of structurally stitched non-crimp fabric composites

Multiscale modeling and tensile behavior analysis of uniaxial reinforced warp‐knitted composites

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