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The influence of fiber orientation and geometry-induced strain concentration on the fatigue life of short carbon fibers reinforced polyamide-6

Static and fatigue mechanical properties of a polyamide-6 reinforced with a 20% weight fraction of short carbon fibers (PA6-20CF) material were investigated by means of static and fatigue tensile tests on both unnotched and notched specimens. SEM pictures were also taken on the fracture surface of s...

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Bibliographic Details
Published in:Materials & design 2020-05, Vol.190, p.108569, Article 108569
Main Authors: Quagliato, Luca, Kim, Yonghee, Fonseca, João Henrique, Han, Dosuck, Yun, Seungjong, Lee, Hyungtak, Park, Nara, Lee, Hyungyil, Kim, Naksoo
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Language:English
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Summary:Static and fatigue mechanical properties of a polyamide-6 reinforced with a 20% weight fraction of short carbon fibers (PA6-20CF) material were investigated by means of static and fatigue tensile tests on both unnotched and notched specimens. SEM pictures were also taken on the fracture surface of specimens tested under static, low cycle failure (LCF) and high cycle failure (HCF) conditions, allowing to correlate the cycles to failure with the deformation pattern of the polymer matrix. Accordingly, two strain-approach-based fatigue models were developed and allowed accounting for the different influence of stress, and strain, concentration on the fracture behavior for static failure, LCF and HCF. To account for the variation of mechanical properties with fiber orientation, Autodesk Moldflow Insight simulations were performed, and the resulting fiber orientations were mapped into Abaqus via the mapping program Autodesk Helius. The model was validated by utilizing it for the prediction of the fatigue life of a complex shape part, showing a maximum error equal to 13.7%, in comparison to experimental results. [Display omitted] •The shell-core structure, with different fiber orientation and length distributions, influences the mechanical properties•The strain redistribution on the polymer matrix is different for static failure, low cycles fatigue and high cycles fatigue•Fiber length and orientation distributions are mapped onto the structural simulation to account for the material properties•The local strain concentration and stress triaxiality were utilized to estimate the stress state on the part•The utilized mapping procedure allows has high accuracy in predicting the fatigue life of complex shape components
ISSN:0264-1275
DOI:10.1016/j.matdes.2020.108569