Clustering effect on mechanical properties and failure mechanism of open hole high modulus carbon fiber reinforced composite laminates under compression

2019 ◽  
Vol 229 ◽  
pp. 111377 ◽  
Author(s):  
Xiaodong Wang ◽  
Weidong Li ◽  
Zhidong Guan ◽  
Zengshan Li ◽  
Yao Wang ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Carbon Fiber ◽  
Failure Mechanism ◽  
Composite Laminates ◽  
High Modulus ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite ◽  
Open Hole ◽  
Clustering Effect

Application of Acoustic Emission Technology in Material Detection

2012 ◽  
Vol 569 ◽  
pp. 233-237
Author(s):  
Chun Lei Zhang ◽  
Kun Qiao ◽  
Bo Zhu ◽  
Ben Xie ◽  
Zhi Tao Lin ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Carbon Fiber ◽  
Failure Mechanism ◽  
Material Properties ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite ◽  
Material Detection ◽  
Carbon Fiber Reinforced ◽  
Acoustic Emission Technology

The principle of acoustic emission (AE) technology was introduced in this work, as well as the application and the achievements of AE in recent years, such as the utilization in unidirectional carbon fiber reinforced composite. References for in-depth research of material properties and failure mechanism were provided in this article.

scholarly journals Carbon Fiber Polymer Composites

2019 ◽  
Vol 1 (1) ◽  
pp. 276-280
Author(s):  
Lenka Markovičová ◽  
Viera Zatkalíková ◽  
Patrícia Hanusová
Keyword(s):  
Mechanical Properties ◽  
Composite Materials ◽  
Carbon Fiber ◽  
Polymer Composite ◽  
Fiber Orientation ◽  
Environmental Damage ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
Reinforced Composite ◽  
The Matrix

Abstract Carbon fiber reinforced composite materials offer greater rigidity and strength than any other composites, but are much more expensive than e.g. glass fiber reinforced composite materials. Continuous fibers in polyester give the best properties. The fibers carry mechanical loads, the matrix transfers the loads to the fibers, is ductile and tough, protect the fibers from handling and environmental damage. The working temperature and the processing conditions of the composite depend on the matrix material. Polyesters are the most commonly used matrices because they offer good properties at relatively low cost. The strength of the composite increases along with the fiber-matrix ratio and the fiber orientation parallel to the load direction. The longer the fibers, the more effective the load transfer is. Increasing the thickness of the laminate leads to a reduction in the strength of the composite and the modulus of strength, since the likelihood of the presence of defects increases. The aim of this research is to analyze the change in the mechanical properties of the polymer composite. The polymer composite consists of carbon fibers and epoxy resin. The change in compressive strength in the longitudinal and transverse directions of the fiber orientation was evaluated. At the same time, the influence of the wet environment on the change of mechanical properties of the composite was evaluated.

Numerical investigation of fiber random distribution on the mechanical properties of yarn in-plain woven carbon fiber-reinforced composite based on a new perturbation algorithm

2017 ◽  
Vol 52 (6) ◽  
pp. 755-771 ◽  
Author(s):  
Chao Zhu ◽  
Ping Zhu ◽  
Zhao Liu ◽  
Wei Tao
Keyword(s):  
Mechanical Properties ◽  
Carbon Fiber ◽  
Representative Volume Element ◽  
Volume Element ◽  
Fiber Reinforced ◽  
Fiber Reinforced Composite ◽  
Representative Volume ◽  
Reinforced Composite ◽  
Carbon Fiber Reinforced ◽  
New Perturbation

Interior fibers in yarns of plain woven carbon fiber-reinforced composite are distributed randomly, which further influences the mechanical properties of yarns. To explore the stochastic nature of fibers’ distribution in yarn and its effect on the properties of yarn, this study proposes a new perturbation algorithm named Sequential Random Perturbation algorithm to reconstruct the microstructure of randomly distributed fibers, based on which representative volume element micromechanical models consisting of three phases to accurately predict the mechanical properties of yarn are established. The algorithm is based on successive smart perturbations of fibers to gain microstructures of arbitrary volume fraction, and statistical study shows that the algorithm is in good agreement with experimental results. Finally, representative volume element models are simulated to predict the whole mechanical properties of composite yarns to reflect the failure mechanisms and microstructure–property relations. The randomness of fiber distribution has some degree of influence on mechanical properties of yarn, especially strength responses. The failures under axial tension and compression are dominated by fiber breakage, while under transverse and shear loading conditions, the failures are mostly decided by interface debonding and matrix damage.

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