Predictive Engineering Tools for Injection-Molded Long-Carbon-Fiber Thermoplastic Composites - Second FY 2015 Quarterly Report

Nguyen, Ba Nghiep; Fifield, Leonard S.; Kijewski, Seth A.; Sangid, Michael D.; Wang, Jin; Costa, Franco; Tucker, III; Mathur, Raj N.; Gandhi, Umesh; Mori, Steven

doi:10.2172/1183627

Cited by 7 publications

(15 citation statements)

References 3 publications

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“…In reference to the disclosed reports of the U.S. PNNL (Pacific Northwest National Laboratory in US) project , two polymer matrices, polypropylene (PP) and polyamide 6,6 (PA66), were considered in this study. The materials of interest are LCF‐reinforced thermoplastic composite produced by PlastiComp, including the 30 wt%LCF/PP, 50 wt%LCF/PP, and 50 wt%LCF/PA66.…”

Section: Resultsmentioning

confidence: 99%

“…The inlet condition involves the user‐defined mode (if possessing experimental data) and the specified mode (artificially, to define aligned orientation at the skin and transverse/random orientation at the core). Nguyen et al pointed out that the inlet condition strongly influences the orientation predictions of the RSC the ARD‐RSC models. Those orientation predictions achieved by the midplane‐mesh and 3D‐mesh simulations were in good agreement with experimental data.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Nguyen et al pointed out that the inlet condition strongly influences the orientation predictions of the RSC the ARD‐RSC models. Those orientation predictions achieved by the midplane‐mesh and 3D‐mesh simulations were in good agreement with experimental data.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…In the earlier PNNL‐ORNL project, Nguyen et al used the ORIENT program , which was based on the Hele–Shaw approximation , to obtain accurate predictions of long glass fiber orientation by the use of the ARD‐RSC model. More recently, the midplane‐mesh and 3D‐mesh ASMI versions with ARD‐RSC for LCF composites in injection molding simulation were completely examined ; consequently, excellent agreement with the experimental data on fiber orientation is available for the ultimate mechanical/structural analysis.…”

Section: Introductionmentioning

confidence: 96%

“…So far, only a few attempts have been made to probe the changes of fiber orientation of various fiber composites from a simulation point of view. From the recent disclosed PNNL project reports , there are many orientation‐related experimental data on the injection molded LCF composites. In this study, we therefore aimed to perform accurate fiber orientation prediction by using the three‐parameter iARD‐RPR model without setting an inlet condition in a 3D injection molding simulation.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Numerical predictions of fiber orientation and mechanical properties for injection‐molded long‐carbon‐fiber thermoplastic composites

Tseng¹,

Chang²,

Hsu³

2017

Polymer Composites

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The use of long carbon fiber‐reinforced thermoplastic composites as lightweight automotive materials offers superior mechanical performance compared to glass fibers. However, the anisotropic fiber orientation distribution with shell–core structure is critical to determine mechanical properties. Recently, both theoretical models of fiber orientation—Anisotropic Rotary Diffusion and Reduced Strain Closure and Improved Anisotropic Rotary Diffusion and Retarding Principal Rate—have been significantly developed in the field of fiber suspension rheology. From injection molding simulations, numerical predictions of fiber orientation are derived with related experimental validations, while dramatic changes in orientation distribution are discussed at various fiber concentrations and different polymer matrices. More importantly, the reinforcing ability is discussed in regard to the tensile modulus and the stress–strain response for a variety of long carbon fiber composites. POLYM. COMPOS., 39:3726–3739, 2018. © 2017 Society of Plastics Engineers

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Section: Resultsmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Theoretical Backgroundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Numerical predictions of fiber orientation and mechanical properties for injection‐molded long‐carbon‐fiber thermoplastic composites

Tseng¹,

Chang²,

Hsu³

2017

Polymer Composites

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Long Fiber Reinforced Composites

Xavier

2022

Thermoplastic Polymer Composites

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Accurate predictions of orientation dependent modulus in short‐fiber‐reinforced composite with experimental validation

Tseng¹,

Chang²,

Hsu³

2017

Polymer Composites

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Predictions of fiber orientation dependent mechanical properties are extremely important in the automotive industry for injection molded fiber‐reinforced thermoplastic composites. Prior studies on three‐dimensional (3D) numerical computations have not had satisfactory results in the searches for significant deviation in the core region and skin boundary of a fiber orientation pattern, although the orientation in the shell layer was predicted fairly well. To perform the connection between fiber orientation and the mechanical properties in a familiar short‐fiber composite, therefore they aim for accurate predictions of the anisotropic fiber orientation at various flow factors in a reliable, 3D injection molding simulation within a new objective fiber orientation model. Comparisons of the predictive fiber orientation and tensile modulus with related experimental data were also made herein, as well as including variation in the modulus along the flow distance from the gate. POLYM. COMPOS., 39:2847–2859, 2018. © 2016 Society of Plastics Engineers

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Predictive Engineering Tools for Injection-Molded Long-Carbon-Fiber Thermoplastic Composites - Second FY 2015 Quarterly Report

Cited by 7 publications

References 3 publications

Numerical predictions of fiber orientation and mechanical properties for injection‐molded long‐carbon‐fiber thermoplastic composites

Numerical predictions of fiber orientation and mechanical properties for injection‐molded long‐carbon‐fiber thermoplastic composites

Long Fiber Reinforced Composites

Accurate predictions of orientation dependent modulus in short‐fiber‐reinforced composite with experimental validation

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