Numerical prediction of fiber orientation and mechanical performance for short/long glass and carbon fiber-reinforced composites

Tseng, Huan-Chang; Chang, Rong‐Yeu; Hsu, Chia-Hsiang

doi:10.1016/j.compscitech.2017.02.020

Cited by 67 publications

(33 citation statements)

References 13 publications

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“…The process conditions are recalled in Table 1. As in Tseng et al (2017bTseng et al ( , 2018, only the filling phase is considered and the default "fibers aligned at skin / random at the core" inlet condition is prescribed at the injection point. Spatial discretization is performed with sufficiently fine tetrahedral elements with 12 layers in the thickness direction.…”

Section: Preliminary Confrontation With Experimental Datamentioning

confidence: 99%

“…Finally, it is interesting to illustrate the consequences of such coupled simulations in overall mechanical performance predictions. Based on the micromechanical properties (resin and fiber) given in Tseng et al (2017b) and the fiber orientation tensor calculated above, the overall elastic moduli of the composite can be predicted by the homogenization model presented in Tandon and Weng (1984) followed by the standard orientation averaging process Advani and Tucker III (1987). Since the directly measured elastic properties are not available, the experimental fiber orientation values a 11 , a 22 and a 33 are used, by assuming that the off-diagonal components are zero.…”

Section: Preliminary Confrontation With Experimental Datamentioning

confidence: 99%

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Flow-Fiber Coupled Viscosity in Injection Molding Simulations of Short Fiber Reinforced Thermoplastics

Li¹,

Luyé²

2019

International Polymer Processing

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The main objective of this paper is to numerically investigate the use of fiber-dependent viscosity models in injection molding simulations of short fiber reinforced thermoplastics with a latest commercial software. We propose to use the homogenization-based anisotropic rheological model to take into account flowfiber coupling effects. The 4th-order viscosity tensor is approximated by an optimal scalar model and then implemented in the Moldflow Insight API framework. Numerical simulations are performed for a test-case rectangular plate with three fiber orientation models. The resulting coupled flow kinematics and fiber evolutions are then compared to the standard uncoupled simulations. Interpretations are given based on detailed post-processing of the field results. Certain deformation conditions are expected to be better taken into account, which may also in return lead to an improved fiber orientation prediction. Preliminary confrontation between flow-fiber coupled simulations and existing experimental data is then presented at the end of the paper.

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Section: Preliminary Confrontation With Experimental Datamentioning

confidence: 99%

Section: Preliminary Confrontation With Experimental Datamentioning

confidence: 99%

Flow-Fiber Coupled Viscosity in Injection Molding Simulations of Short Fiber Reinforced Thermoplastics

Li¹,

Luyé²

2019

International Polymer Processing

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“…e Cross-WLF rheological model with seven parameters was used in the simulation, which can describe complex viscosity behaviors, including the viscosity varying with shear rate and the zero-shear-rate viscosity, depending on temperature and pressure [20].…”

Section: Rheological Modelmentioning

confidence: 99%

“…In the past three decades, theoretical studies on fibers suspension rheology have achieved a great success. Based on the classic fiber orientation models, including Jeffery hydrodynamics model, Folgar-Tucker model [18], and ARD-RSC model [19], Tseng et al recently proposed an improved iARD-RPR model [20,21], which can provide good simulation results of SFO in standard injection molding.…”

Section: Introductionmentioning

confidence: 99%

Effect of Process Parameters on Short Fiber Orientation along the Melt Flow Direction in Water-Assisted Injection Molded Part

Zhou

Liu

Jiang

et al. 2019

Advances in Materials Science and Engineering

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The short fiber orientation (SFO) distribution in the water-assisted injection molding (WAIM) is more complicated than that in traditional injection molding due to the new process parameters. In this work, an improved fiber orientation tensor method was used to simulate the SFO in WAIM. The result was compared with the scanning electron micrograph, which was consistent with the experiments. The effect of six process parameters, including filling time, melt temperature, mold temperature, delay time, water pressure, and water temperature, on the SFO along the melt flow direction were studied through orthogonal experimental design, range analysis, and variance analysis. An artificial neural network was used to establish the nonlinear agent model between the process parameters and A11 representing the fiber orientation in melt flow direction. Results show that water pressure, melt temperature, and water temperature have significant effects on SFO. The three-dimensional (3D) response surfaces and contour plots show that the values of A11 decrease with the increase in water pressure and melt temperature and increase as the water temperature rises.

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“…Along with its hugely consumption, it also has lot of material and practical issues that needs to be addressed 4 . Although, fiber reinforced polymer composites due to their excellent mechanical properties and less weight parameters, have become an attractive material for many industries like automotive industry but the manufacturing of composite structure itself is a critical task for accurately predicting the best stacking sequences to attain the required mechanical or any other properties 5 .…”

Section: Introductionmentioning

confidence: 99%

Investigating the Effect of Delamination Size, Stacking Sequences and Boundary Conditions on The Vibration Properties of Carbon Fiber Reinforced Polymer Composite

2019

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Composite structures are extensively used in various fields ranging from, but not limited to marine, aerospace, automotive, agricultural and industrial equipment due to their unique and excellent properties like weight associated with density. On an increase in their applications, it also requires special attention to manufacture and process the composites to acquire the high level of stability. Most critical defect in composite structures that have attracted many researchers is delamination. Delamination in composite structures are inevitable during service period. Present work is focused on investigating the effect of presence of delamination in the carbon fiber reinforced composite plate using finite element solver software, ANSYS. Present analysis will focus to find the effect of delamination size, boundary constraints and layups on the natural frequency of carbon fiber composite plate. Analytical results were also analyzed using MATLAB environment. Governing equations were derived using Rayleigh-Ritz method. The natural frequency reduced on an increase in delamination size and it is high in clamped-clamped boundary conditions rather than simply supported constraints. The finite element results are then compared with analytical results for clamped-clamped boundary conditions and found in close agreement.

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Numerical prediction of fiber orientation and mechanical performance for short/long glass and carbon fiber-reinforced composites

Cited by 67 publications

References 13 publications

Flow-Fiber Coupled Viscosity in Injection Molding Simulations of Short Fiber Reinforced Thermoplastics

Flow-Fiber Coupled Viscosity in Injection Molding Simulations of Short Fiber Reinforced Thermoplastics

Effect of Process Parameters on Short Fiber Orientation along the Melt Flow Direction in Water-Assisted Injection Molded Part

Investigating the Effect of Delamination Size, Stacking Sequences and Boundary Conditions on The Vibration Properties of Carbon Fiber Reinforced Polymer Composite

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