Long term performance of fiber-reinforced polymers
Citation for published version (APA):
Zhang, S., van Dommelen, J. A. W., Govaert, L. E., & Anderson, P. D. (2016). Long term performance of fiber-reinforced polymers.
Document status and date: Published: 01/11/2016 Document Version:
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Long term performance of glass
fiber-reinforced polymers
S. Zhang, J.A.W. van Dommelen, L.E. Govaert, P.D. Anderson
/ Department of Mechanical Engineering
Background
The mechanical performance of glass fiber-reinforced polymers depends on temperature, humidity and strain rate, and also depends on the volume fraction of fiber reinforcements and the anisotropy which is caused by fiber orientation and orientation distribution.
Thus fiber orientation and orientation distribution is a result of the injection molding process (see Fig. 1).
Figure 1: Injection moulding and SEM images [1] where orientation of
fibers are transfered from the core layer (transversal to the flow direction) to the boundary layer (parallel to the flow direction).
Approach
The macroscopic mechanical performance of glass fiber-reinforced polymers are analyzed in Multi-scale modelling (see Fig. 2) : 1. At the global scale, the geometry of an industrial part is built; 2. At the meso scale, an RVE with a fiber distribution based on micro CT image is created. The inclusion and matrix are respectively described by elastic and the EGP model.
Figure 2: Illustration of Multi-scale modelling of glass fiber-reinforced polymers.
Simulation
A idealized unit cell which has periodic boundary conditions is analyzed in Marc Mentat. The glass fiber inclusion is described by elastic model. The matrix is described with the EGP model. The macroscopically uniaxial stress of 70 MPa varies with rotation angle 𝝋. The angle changes from 0 to 90 degrees (see Fig. 3).
Figure 3: Single glass fiber anisotropy in 2D.
Future work
• By using DIGIMAT, a specific RVE (see Fig. 4) will be generated with preferred inclusion type, orientation, aspect ratio and volume fraction. Then the Influence of those factors on the mechanical performance will be examined.
• Micro CT image of glass fiber polymer will be acquired and transferred to a real geometry and be meshed.
Figure 4: Examples of RVE: glass fiber is in unidirection and randomly distributed.
References
1. Mortazavian S, Fatemi A. Fatigue behavior and modeling of short fiber reinforced polymer composites: A literature review[J]. International Journal of Fatigue, 2015, 70: 297-321.
100𝜇m 10𝜇𝑚 10𝜇𝑚 Inclusion: Elastic model Matrix: EGP model
Meso Scale Global Scale
RVE
