Vibration-induced fatigue behavior and damage mechanisms of polypropylene-argan nut shell composites
Year: 2026
Type: article
Abstract: This study investigates vibration-induced fatigue of polypropylene (PP) reinforced with argan nut shell (ANS) particles. Specimens were designed by finite-element modal and harmonic analyses to target resonant frequency while limiting self-heating. Fatigue tests using a vibration shaker setup were used to evaluate fatigue performance based on S-N curves and the Basquin's equation. The results showed that the incorporation of ANS particles reduces fatigue resistance at high stress levels but improves it at low stress levels. Differential scanning calorimetry confirmed the nucleating effect of the particles through an increase in crystallinity, while dynamic mechanical analysis revealed a reduction in damping performance. These combined effects result in a stiffer material with reduced energy dissipation ability. Scanning electron microscopy (SEM) was used to observe crack initiation and propagation at the matrix-particle interface, revealing that the main fracture mechanisms were interfacial decohesion, void formation, and micro-shear bands. These findings emphasized the dual role of ANS particles: while they enhance stiffness and fatigue stability at low stress levels, they also make the material more brittle and cause local stress concentration.
Source: Polymer Testing
Authors: Oumaima Belcadi, Leila Khalij, Christophe Gautrelet, Catherine Legrand, Nicolas Desilles, Hassan El Minor, Fatima Ezzahra Arrakhiz
Language: English
Subfield: Polymers and Plastics
Field: Materials Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,370
Funders: The Ministry of Economic Affairs and Employment, Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche, Campus France, Ministère de l'Enseignement Supérieur, de la Recherche Scientifique et de la Formation des Cadres, Ministry of Higher Education, Science, Research and Innovation, Thailand
Award: G7690721044
OpenAlex ID: W7128493394
