Process-induced failure mode transition of compression molded discontinuous carbon fiber composites: From coupon to component level

Stelzer, Philipp; Plank, Bernhard; Maurer, Julia; Tiefenthaler, Martin; Major, Zoltán

doi:10.1016/j.compositesb.2022.110021

Cited by 3 publications

(1 citation statement)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This requires however a careful selection of the reference ranges of interest (RoI) in the specimens and the proper experimental determination of the FO. For latter the procedures of Fachhochschule Wels, Austria (Kastner et al, 2012;Salaberger, 2019;Stelzer et al, 2022) were applied.…”

Section: Parameter Estimation With Metamodelsmentioning

confidence: 99%

Determination of fiber orientation model parameters for injection molding simulations via automated metamodel optimization

et al. 2023

Self Cite

View full text Add to dashboard Cite

Injection molded short fiber reinforced components reveal a sound light weight potential with moderate costs and thus are widely used in many demanding engineering applications. The accurate determination of the fiber orientation (FO) is essential for predicting the overall mechanical behavior of discontinuous (short or long, with varying aspect ratio) fiber reinforced composites. The simulation of the FO requires a proper modeling of the hydrodynamics, the closure transformation of the FO tensor and optionally the application of specific correction functions. The determination of parameters for the fiber orientation models commonly used in injection molding simulations is a challenging task because they cannot be determined directly in experiments. Hence, a novel way is shown in our paper to derive these parameters faster, more efficiently and accurately by the usage of an automated metamodel optimization. For this, injection molding simulations were performed iteratively by an optimization program until a minimal deviation error of the simulated parameters was reached. The optimization was performed based on proper computed tomography FO data of selected regions of interest. The new approach was tested for a rotationally symmetric Venturi tube geometry made from short glass fiber reinforced polyamide (PA-GF). The fiber orientation distribution models chosen were the iARD-RPR equation with 3 parameters and the novel anisotropic IISO equation with 5 parameters. It was shown that the optimization method is feasible for the calibration of fiber orientation models. Furthermore, the IISO equation with its 2 additional parameters allowed a more accurate prediction of the fiber orientation distribution, especially of the core layer of the injection molded part.

show abstract

Section: Parameter Estimation With Metamodelsmentioning

confidence: 99%