4.7 Article

Enabling rapid fatigue life prediction of short carbon fiber reinforced polyether-ether-ketone using a novel energy dissipation-based model

Journal

COMPOSITE STRUCTURES
Volume 272, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.compstruct.2021.114227

Keywords

Thermoplastic composites; Intrinsic dissipation; Fatigue model; Fatigue life

Funding

  1. Shanghai Sailing Program [20YF1432700]

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This study investigates the energy dissipation behavior of short carbon fiber reinforced polyether-ether-ketone (SCFRPEEK) under fatigue loading. A new model combining thermodynamic laws and fatigue damage mechanisms was established to predict the fatigue limit and S-N curve for SCFR-PEEK. By monitoring temperature distribution evolution using an infrared camera during fatigue tests, energy dissipated during the tests was calculated based on local thermodynamic differential equations. Through analysis of different sources of intrinsic dissipation and their correlation to fatigue damage, the model successfully estimated fatigue properties of SCFR-PEEK with a goodness of fit of 0.964.
In this study, the energy dissipation behavior of short carbon fiber reinforced polyether-ether-ketone (SCFRPEEK) subjected to fatigue loading is investigated. A new model is established to rapidly predict the fatigue limit and S-N curve for SCFR-PEEK by combining thermodynamic laws and fatigue damage mechanisms. An infrared camera is used during the fatigue tests to monitor the evolution of the temperature distribution of the specimen. The energy dissipated during the fatigue test is calculated by solving local thermodynamic differential equations based on the variation in surface temperature of the specimen. Based on thermodynamic laws and the fatigue damage characteristics of SCFR-PEEK, the different sources of intrinsic dissipation are analyzed and classified to determine their correlation to fatigue damage. The intrinsic dissipation contributing to fatigue damage is extracted and used to estimate the fatigue properties of SCFR-PEEK. The model predictions show a satisfactory agreement with the results of traditional fatigue tests, with a goodness of fit of 0.964.

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