Predictive multiscale modeling for Unidirectional Carbon Fiber Reinforced Polymers

Gao, Jiaying; Shakoor, Modesar; Domel, Gino; Merzkirch, Matthias; Zhou, Guowei; Zeng, Deliang; Su, Xuming; Liu, Wing Kam

doi:10.1016/j.compscitech.2019.107922

Cited by 45 publications

(15 citation statements)

References 26 publications

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“…In order to accomplish this, a Matlab fiber packing algorithm was created that uses a template fiber (which can be either a bean-shaped A42 cross-section or a circular cross-section) to generate the microstructure of interest, where the template fiber could be iteratively processed and placed in the 2D model. This is similar to the procedure used by Gao et al [17], however this work used a bean-shaped fiber as a template (where a representative fiber was chosen from the SEM image as the template fiber).…”

Section: Methodsmentioning

confidence: 99%

“…Elements for the fibers and the matrix were assigned isotropic linear elastic properties, with a user-defined material subroutine (UMAT) used for the ultimate strength of each constituent. The elements for the A42 fibers were assigned E = 245 GPa, ν = 0.28, and σ ult = 4200 MPa using an elastic-brittle failure model [17]. For simulations which used T650 fibers (with circular cross-sections), fiber elements were assigned E = 255 GPa, ν = 0.28, and σ ult = 4280 MPa using an elastic-brittle failure model [20].…”

Section: Methodsmentioning

confidence: 99%

“…For simulations which used T650 fibers (with circular cross-sections), fiber elements were assigned E = 255 GPa, ν = 0.28, and σ ult = 4280 MPa using an elastic-brittle failure model [20]. The P6300 matrix elements (matrix used in all three simulations) were assigned E = 3.8 GPa, ν = 0.39, and σ ult = 68 MPa using an elastic-brittle failure model, which is representative of P6300 epoxy in tension (as was done in this work) [17]. The boundary conditions (Figure 2D) applied to the model were rollers on the -Z, -X, and -Y surfaces, with rollers and a displacement of +0.075 µm on the +Z surface (representing a 1.5% elongation, which is the expected elongation to failure) [9].…”

Section: Methodsmentioning

confidence: 99%

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Design of Low Cost Carbon Fiber Composites via Examining the Micromechanical Stress Distributions in A42 Bean-Shaped versus T650 Circular Fibers

Hanhan

Sangid

2021

J. Compos. Sci.

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Recent advancements have led to new polyacrylonitrile carbon fiber precursors which reduce production costs, yet lead to bean-shaped cross-sections. While these bean-shaped fibers have comparable stiffness and ultimate strength values to typical carbon fibers, their unique morphology results in varying in-plane orientations and different microstructural stress distributions under loading, which are not well understood and can limit failure strength under complex loading scenarios. Therefore, this work used finite element simulations to compare longitudinal stress distributions in A42 (bean-shaped) and T650 (circular) carbon fiber composite microstructures. Specifically, a microscopy image of an A42/P6300 microstructure was processed to instantiate a 3D model, while a Monte Carlo approach (which accounts for size and in-plane orientation distributions) was used to create statistically equivalent A42/P6300 and T650/P6300 microstructures. First, the results showed that the measured in-plane orientations of the A42 carbon fibers for the analyzed specimen had an orderly distribution with peaks at |ϕ|=0∘,180∘. Additionally, the results showed that under 1.5% elongation, the A42/P6300 microstructure reached simulated failure at approximately 2108 MPa, while the T650/P6300 microstructure did not reach failure. A single fiber model showed that this was due to the curvature of A42 fibers which was 3.18 μm−1 higher at the inner corner, yielding a matrix stress that was 7 MPa higher compared to the T650/P6300 microstructure. Overall, this analysis is valuable to engineers designing new components using lower cost carbon fiber composites, based on the micromechanical stress distributions and unique packing abilities resulting from the A42 fiber morphologies.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Design of Low Cost Carbon Fiber Composites via Examining the Micromechanical Stress Distributions in A42 Bean-Shaped versus T650 Circular Fibers

Hanhan

Sangid

2021

J. Compos. Sci.

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“…In line with the overarching goal of ICME to reduce the time and the cost in the discovery and development of novel CFRP composites structures, multi-scale computational models have been established and embraced in our previous work and those of other researchers [12][13][14][15][16][17][18][19][20][21][22][23][24]. A majority of those models deliver the concerned information embedded in equations and parameters from lower-scale simulations to higher-scale, which is termed as the bottom-up hierarchical approach [17]. These previous studies on multi-scale model development have addressed the first challenge to a large extent.…”

Section: Introductionmentioning

confidence: 99%

An integrated computational materials engineering framework to analyze the failure behaviors of carbon fiber reinforced polymer composites for lightweight vehicle applications

Sun

Zhou

Meng

et al. 2021

Composites Science and Technology

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A bottom-up multi-scale modeling approach is used to develop an Integrated Computational Materials Engineering (ICME) framework for carbon fiber reinforced polymer (CFRP) composites, which has the potential to reduce development to deployment lead time for structural applications in lightweight vehicles. In this work, we develop and integrate computational models comprising of four size scales to fully describe and characterize three types of CFRP composites. In detail, the properties of the interphase region are determined by an analytical gradient model and molecular dynamics analysis at the nano-scale, which is then incorporated into micro-scale unidirectional (UD) representative volume element (RVE) models to characterize the failure strengths and envelopes of UD CFRP composites. Then, the results are leveraged to propose an elasto-plastic-damage constitutive law for UD composites to study the fiber tows of woven composites as well as the chips of sheet molding compound (SMC) composites. Subsequently, the failure mechanisms and failure strengths of woven and SMC composites are predicted by the meso-scale RVE models. Finally, building upon the models and results from lower scales, we show that a homogenized macro-scale model can capture the mechanical performance of a hat-sectionshaped part under four-point bending. Along with the model integration, we will also demonstrate that the computational results are in good agreement with experiments conducted at different scales. The present study illustrates the potential and significance of integrated multi-scale computational modeling tools that can virtually evaluate the performance of CFRP composites and provide design guidance for CFRP composites used in structural applications.

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“…Qi et al [13] modeled the RVEs by considering the fiber orientation and ply angle of carbon fiber reinforced plastics (CFRPs), predicted the effective properties based on cross-scale simulations, and compared them with the tensile test results. Gao et al [14] suggested the Integrated Computational Material Engineering framework implemented by the rule of mixture (ROM) to produce a unidirectional CFRP laminated structure, and compared the tensile tests and 3-point bending tests results with the simulation results. The abovementioned studies proposed various RVE models to predict the effective properties of the fiber level.…”

Section: Introductionmentioning

confidence: 99%

Multi-Scale Probabilistic Analysis for the Mechanical Properties of Plain Weave Carbon/Epoxy Composites Using the Homogenization Technique

et al. 2020

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Probabilistic analyses of carbon fabric composites were conducted using the Monte Carlo simulation based on a homogenization technique to evaluate the mechanical properties of composites and their stochastic nature. First, the homogenization analysis was performed for a micro-level structure, which fiber and matrix are combined. The effective properties obtained from this analysis were compared with the results from the rule of mixture theory to verify the homogenization analysis. And, tensile tests were conducted to clearly evaluate the result and the reliability was verified by comparing the results of the tensile tests and homogenization analysis. In addition, the Monte Carlo simulation was performed based on homogenization analyses to consider the uncertainties of the micro-level structure combined of fiber and matrix. Next, the results of this simulation were applied to the macro-level structure combined of the tow and matrix to perform the Monte Carlo simulation based on the homogenization technique. Finally, the sensitivity analysis was conducted to identify the effect of constituents of the carbon plain weave composite and the linear correlation of the micro- and macro-level structures combined of the fiber/matrix and tow/matrix, respectively. The findings of this study verified that the effective properties of the plain weave carbon/epoxy composite and their uncertainties depended on the properties of the carbon fiber and epoxy, which are the basic constituents of plain weave carbon/epoxy composites.

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Predictive multiscale modeling for Unidirectional Carbon Fiber Reinforced Polymers

Cited by 45 publications

References 26 publications

Design of Low Cost Carbon Fiber Composites via Examining the Micromechanical Stress Distributions in A42 Bean-Shaped versus T650 Circular Fibers

Design of Low Cost Carbon Fiber Composites via Examining the Micromechanical Stress Distributions in A42 Bean-Shaped versus T650 Circular Fibers

An integrated computational materials engineering framework to analyze the failure behaviors of carbon fiber reinforced polymer composites for lightweight vehicle applications

Multi-Scale Probabilistic Analysis for the Mechanical Properties of Plain Weave Carbon/Epoxy Composites Using the Homogenization Technique

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