To exploit the full material potential of short fiber‐reinforced PA6T/6I, specific component calculations including anisotropic material behavior is necessary. For this, different failure criteria and fatigue models are used to describe the behavior during a component service life. This paper deals with the determination and consideration of fiber orientations (FOs) for failure criteria and fatigue calculations. Therefore, a novel method to determine FO distributions across injection‐molded plates is proposed. The developed method allows a forecast of FOs for different specimen extraction positions and angles on injection‐molded plates by using only a few measured reference points. As a result, fatigue models can be calibrated with the strength values and the corresponding FO, calculated for fracture position. The performed tests show a non‐negligible influence of failure positions, due to FO distributions along the specimens. So, the FO determination method delivers an improvement in strength values estimation.
Short fibre reinforced polymers are getting more important for structural applications. Becasue of lightweight actions, components are designed for a specific application and lifetime. The bearable numbers of cycles can be estimated using material data and models for the consideration of influence factors. Further static loadings affect material behaviour, which influences the component lifetime. Commonly used models are not able to capture these effects. Therefore, material tests, with different load sequences, on 40% short glass fibre reinforced polypropylene have been performed. These sequences are combinations of cyclic and static loads at different, defined levels. Our research shows a lifetime elongation or reduction of a polymer, depending on the amount of static load time and quantity. For a certain stress level, the time to failure can be elongated or shortened more than a decade by another stress level, as compared to pure cyclic load. Additionally, the stiffness development of the composite is investigated in order to capture the damage course. Accordingly, these effects needed to be considered in lifetime prediction.
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