Response of Random Chopped Fiber Reinforced Composite to Uniaxial Tensile Load

2009 ◽  
Author(s):  
Yi Pan ◽  
Assimina A. Pelegri
Keyword(s):  
Representative Volume Element ◽  
Fiber Composite ◽  
Analytical Calculation ◽  
Tensile Load ◽  
Element Model ◽  
Elastic Stiffness ◽  
Volume Element ◽  
Uniaxial Tensile ◽  
Fiber Reinforced ◽  
Representative Volume

Recent interests of application of random chopped fiber reinforced composites in manufacturing lightweight components in the automotive industry motivate active research on the material behaviors of this kind of materials. A representative volume element is generated numerically based on microscopic observation on the realistic samples. It captures the complex meso-structure of random chopped fiber composites. A finite element model is developed for the RVE of random chopped fiber composite. The elastic stiffness properties of the composite material thus can be derived with homogenization scheme. The representative volume element was verified by Young’s modulus obtained from experimental measurements and analytical calculation of the modulus by other methods. Furthermore, damages deboning of fiber/matrix interface is simulated using the representative volume element.

Crystal Plasticity Simulation of the Bauschinger Effect of Polycrystalline AA7075 through a Texture-Based Representative Volume Element Model

2014 ◽  
Vol 553 ◽  
pp. 22-27
Author(s):  
Ling Li ◽  
Lu Ming Shen ◽  
Gwénaëlle Proust
Keyword(s):  
Finite Element ◽  
Representative Volume Element ◽  
Crystal Plasticity ◽  
Bauschinger Effect ◽  
Voronoi Tessellation ◽  
Strain Curve ◽  
Element Model ◽  
Volume Element ◽  
Model Parameters ◽  
Representative Volume

A texture-based representative volume element (TBRVE) model is developed for the three-dimensional crystal plasticity (CP) finite element simulations of the Bauschinger effect (BE) of polycrystalline aluminium alloy 7075 (AA7075). In the simulations, the grain morphology is created using the Voronoi tessellation method with the material texture systematically discretised from experiment. A modified CP constitutive model, which takes into account the backstress, is used to simulate the BE during cyclic loading. The model parameters are calibrated using the first cycle stress-strain curve and used to predict the mechanical response to the cyclic saturation of AA7075. The results indicate that the proposed TBRVE CP finite element model can effectively capture the BE at the grain level.

scholarly journals Representative volume element model of lithium-ion battery electrodes based on X-ray nano-tomography

2017 ◽  
Vol 47 (3) ◽  
pp. 281-293 ◽  
Author(s):  
Ali Ghorbani Kashkooli ◽  
Amir Amirfazli ◽  
Siamak Farhad ◽  
Dong Un Lee ◽  
Sergio Felicelli ◽  
...  
Keyword(s):  
Lithium Ion Battery ◽  
Representative Volume Element ◽  
Lithium Ion ◽  
Element Model ◽  
Volume Element ◽  
X Ray ◽  
Representative Volume

Effective elastic modulus of foamed long glass fiber reinforced polypropylene: Experiment and computation

2020 ◽  
pp. 146442072095802
Author(s):  
Liya Cai ◽  
Kegang Zhao ◽  
Xiangdong Huang ◽  
Jie Ye ◽  
Yong Zhao
Keyword(s):  
Elastic Modulus ◽  
Glass Fiber ◽  
Representative Volume Element ◽  
Elastic Moduli ◽  
Effective Elastic Modulus ◽  
Volume Element ◽  
Fiber Reinforced ◽  
Representative Volume ◽  
Glass Fiber Reinforced ◽  
Long Glass Fiber

The cross-section of an injection-molded plate of foamed long glass fiber reinforced polypropylene was analyzed using scanning electron microscopy. The distribution of the glass fiber orientations and the microcellular structure in the thickness direction were also studied. A multilayer representative volume element was constructed based on the fiber orientation tensors and the cell distribution. Nested and two-step homogenization methods based on the Mori–Tanaka and Voigt models were used to homogenize each layer of the representative volume element. Finally, classic laminate theory was used to obtain the effective elastic modulus of the material. The computed elastic moduli of the single-layer and multilayer representative volume element models with different loading directions predicted by the homogenization and finite element methods were compared with the experimental results. We found that the constructed multilayer representative volume element model can predict the elastic moduli of the foamed glass fiber reinforced polypropylene effectively and that the predicted results were accurate and stable.

Crystal plasticity modeling of grain refinement in aluminum tubes during tube cyclic expansion-extrusion

2016 ◽  
Vol 232 (6) ◽  
pp. 481-494 ◽  
Author(s):  
A Babaei ◽  
MM Mashhadi ◽  
F Mehri Sofiani
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Representative Volume Element ◽  
Crystal Plasticity ◽  
Element Model ◽  
Volume Element ◽  
Deformation History ◽  
Crystal Plasticity Finite Element ◽  
Representative Volume ◽  
History Of

In the present study, a crystal plasticity finite element model was developed for simulating the microstructure evolution and grain refinement during tube cyclic expansion-extrusion as a severe plastic deformation method for tubular materials. A new approach was proposed for extracting the real deformation history of a representative volume element during severe plastic deformation methods. The deformation history of a representative volume element during four cycles of tube cyclic expansion-extrusion was extracted by the proposed approach. Then, in a crystal plasticity finite element model, the deformation history was applied to a two-dimensional polycrystalline representative volume element with randomly assigned crystalline orientations. The intergranular interactions between grains and the intragranular orientation gradients were successfully simulated by the crystal plasticity finite element model. The distribution of misorientation angles, the evolution of grain boundaries, and the achieved average grain size after different cycles of tube cyclic expansion-extrusion were investigated by the crystal plasticity finite element model. On the other hand, ultrafine grained aluminum tubes were processed by four cycles of tube cyclic expansion-extrusion and the grain size of the processed tubes was studied by scanning electron microscopy observations and X-ray diffraction analyses. The experimental and predicted (by crystal plasticity finite element model) average grain sizes were compared.

Finite Element Modeling of the Ferroelectroelastic Material Behavior in Consideration of Domain Wall Motions

2005 ◽  
Vol 881 ◽  
Author(s):  
Albrecht C. Liskowsky ◽  
Artem S. Semenov ◽  
Herbert Balke ◽  
Robert M. McMeeking
Keyword(s):  
Finite Element ◽  
Representative Volume Element ◽  
Element Model ◽  
Ferroelectric Materials ◽  
Material Point ◽  
Volume Element ◽  
Material Behavior ◽  
Internal Variables ◽  
Gauss Point ◽  
Representative Volume

AbstractA simulation of the nonlinear electromechanical macroscopic behavior of ferroelectric materials by means of the finite element method is presented. A material point is depicted by a representative volume element, for which homogeneous boundary conditions are valid. The evolution of integral averages over the representative volume element is to homogenize the results. For this homogenization we favor a finite element model in which each Gauss point represents exactly one single crystal. Their number of internal variables is limited to the lattice orientation and the volume fractions of the domains. The former are randomly distributed in space. It is possible to calculate the material behavior for arbitrary coupled and nonlinear electromechanical loading cases, but the model is not effective for the solution of boundary value problems for entire bodies.

SIF Prediction of Nanocomposite With Interfacial Debonding

2014 ◽  
Author(s):  
Waleed K. Ahmed
Keyword(s):  
Representative Volume Element ◽  
Volume Element ◽  
Uniaxial Tensile ◽  
Element Analysis ◽  
Linear Elastic ◽  
Composite Failure ◽  
Representative Volume ◽  
Uniaxial Tensile Stress ◽  
Composite Stiffness ◽  
The Impact

Local debonding in nanofiber/matrix interface of a nanofiber reinforced composite has been considered as one of the most important factors that can significantly reduce the composite stiffness as well as increases the interfacial stresses levels which eventually causes composite failure. In the present study, the debonded zone is considered as an interfacial defect and modeled to be a circumferential crack. Linear Elastic Fracture Mechanic (LEFM) was used to investigate the impact of a nanofiber/matrix debonded interface in a nanocomposite through estimating Stress Intensity Factor (SIF). Finite element analysis (FEA) has been carried out to investigate SIF along the debonded edge using 3D-axisymmetric method, and this was done through modeling half of the representative volume element (RVE). A representative volume element of the nanocomposite was modeled and analyzed to explore SIF. Mainly, RVE consists of a nanofiber confined by a matrix and subjected to uniaxial tensile stress. A longitudinal debonding is proposed along the interfacial nanofiber/matrix. It has been shown that FE results indicates a significant impact of the debonding on the SIF of the nanocomposite.

scholarly journals Optimization of weight and elastic properties for unidirectional glass fiber reinforced composites

2021 ◽  
Vol 11 (5) ◽  
pp. 206-214
Author(s):  
Mortda Mohammed Sahib Al-Hamzawi ◽  
Szabolcs Szávai
Keyword(s):  
Elastic Properties ◽  
Representative Volume Element ◽  
Glass Fibers ◽  
Element Model ◽  
Volume Element ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Representative Volume ◽  
Trade Offs ◽  
Material Stiffness

Glass fibers reinforcing composites (GFRC) are the most common industrial materials due to their low weight and superior strength. Microstructure modeling provides a practical approach for predicting the behavior of the composite based on the constituent's property. The weight and mechanical properties of composite materials play a significant role in various applications such as aviation, marines, and vehicles industries. In this study, a microstructure model of (GFRC) is developed for a multi-objective optimization problem involving trade-offs between weight minimizing and material stiffness-enhancing. A finite element model of a representative volume element (RVE) of a material's microstructure is used to predict the elastic properties of the fiber and the matrix composites. Composite properties such as elasticity and density can be obtained directly from the RVE and extrapolated to a larger scale. The representative volume element (RVE) is generated by using commercial software (Abaqus); then, the non-GUI mode is called by Isight Software to solve multi-objective optimization by using Archive based Micro Genetic (AMGA) Algorithm to obtain optimum design of composite RVE.

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