The durability of Short Fibre Reinforced Polymers (SFRPs) is affected by several variables. Accurate unifying fatigue parameters are thus essential for an efficient characterization campaign. This research investigated the fatigue behaviour of a Polyphtalamide PA6T/6I reinforced with 50% of glass fibres. Two thicknesses (1.6 mm and 3 mm), two orientations from the injection moulding direction (0° and 90°) and three load rations (-0.5, 0.1, 0.5) were investigated. A new fatigue parameter, called Alternating Energy Density (AED), was presented; its ability to correlate the fatigue tests results was compared to other known fatigue parameters – cyclic mean strain rate and cyclic creep energy density. All the fatigue parameters were found to be independent of specimen thickness. Furthermore, the prediction of the fatigue lifetime based on AED showed greater accuracy with respect to the other known investigated methods. AED could thus be used for accurate and efficient lifetime prediction of SFRPs.

A modified energy‐based fatigue parameter for short fiber reinforced polymers: Performance analysis with varying thicknesses, load ratios, and fiber orientations

Francesco Fiorini;Luca M. Martulli;Andrea Bernasconi
2023-01-01

Abstract

The durability of Short Fibre Reinforced Polymers (SFRPs) is affected by several variables. Accurate unifying fatigue parameters are thus essential for an efficient characterization campaign. This research investigated the fatigue behaviour of a Polyphtalamide PA6T/6I reinforced with 50% of glass fibres. Two thicknesses (1.6 mm and 3 mm), two orientations from the injection moulding direction (0° and 90°) and three load rations (-0.5, 0.1, 0.5) were investigated. A new fatigue parameter, called Alternating Energy Density (AED), was presented; its ability to correlate the fatigue tests results was compared to other known fatigue parameters – cyclic mean strain rate and cyclic creep energy density. All the fatigue parameters were found to be independent of specimen thickness. Furthermore, the prediction of the fatigue lifetime based on AED showed greater accuracy with respect to the other known investigated methods. AED could thus be used for accurate and efficient lifetime prediction of SFRPs.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1240999
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