scholarly journals Parameters identification of fatigue damage model for short glass fiber reinforced polyamide (PA6-GF30) using digital image correlation

2011 ◽  
Vol 10 ◽  
pp. 2110-2116 ◽  
Author(s):  
F. Meraghni ◽  
H. Nouri ◽  
N. Bourgeois ◽  
C. Czarnota ◽  
P. Lory
Keyword(s):  
Digital Image Correlation ◽  
Glass Fiber ◽  
Fatigue Damage ◽  
Digital Image ◽  
Damage Model ◽  
Parameters Identification ◽  
Image Correlation ◽  
Short Glass Fiber ◽  
Glass Fiber Reinforced ◽  
Short Glass

scholarly journals A Fatigue Damage Model for Life Prediction of Injection-Molded Short Glass Fiber-Reinforced Thermoplastic Composites

Polymers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 2250
Author(s):  
Mohammad Amjadi ◽  
Ali Fatemi
Keyword(s):  
Injection Molding ◽  
Glass Fiber ◽  
Fatigue Damage ◽  
Life Prediction ◽  
Glass Fibers ◽  
Damage Model ◽  
Fiber Reinforced ◽  
Short Glass Fiber ◽  
Glass Fiber Reinforced ◽  
Short Glass

Short glass fiber-reinforced (SGFR) thermoplastics are used in many industries manufactured by injection molding which is the most common technique for polymeric parts production. Glass fibers are commonly used as the reinforced material with thermoplastics and injection molding. In this paper, a critical plane-based fatigue damage model is proposed for tension–tension or tension–compression fatigue life prediction of SGFR thermoplastics considering fiber orientation and mean stress effects. Temperature and frequency effects were also included by applying the proposed damage model into a general fatigue model. Model predictions are presented and discussed by comparing with the experimental data from the literature.

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