Young’s modulus prediction of long fiber reinforced thermoplastics

Garescì, Francesca; Fliegener, Sascha

doi:10.1016/j.compscitech.2013.06.009

Cited by 43 publications

(34 citation statements)

References 18 publications

(15 reference statements)

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“…Fiber orientation distribution (FOD) is another highly anisotropic feature of the final injection molded parts induced by the mold filling process [4]. Mechanical properties of LFTs are highly dependent on these microstructural variables imparted by the injection molding process [5].…”

Section: Introductionmentioning

confidence: 99%

“…There exists very little modeling work for predicting stiffness properties on injection molded LFTs [5]. The scenario of the LFTs is different from the works that studied short fiber composite.…”

Section: Introductionmentioning

confidence: 99%

“…Hine et al [7] carried out a numerical simulation using a distribution of fiber lengths generated by the Monte-Carlo technique. Garesci et al [5] applied the fitted probability density function to get the averaged property from each single fiber length. A relatively concise way is to replace the FLD with some sort of mean fiber length [7,9,10].…”

Section: Introductionmentioning

confidence: 99%

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Prediction of Young’s Modulus for Injection Molded Long Fiber Reinforced Thermoplastics

Chen

Baird

2018

J. Compos. Sci.

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Abstract:In this article, the elastic properties of long-fiber injection-molded thermoplastics (LFTs) are investigated by micro-mechanical approaches including the Halpin-Tsai (HT) model and the Mori-Tanaka model based on Eshelby's equivalent inclusion (EMT). In the modeling, the elastic properties are calculated by the fiber content, fiber length, and fiber orientation. Several closure approximations for the fourth-order fiber orientation tensor are evaluated by comparing the as-calculated elastic stiffness with that from the original experimental fourth-order tensor. An empirical model was developed to correct the fibers' aspect ratio in the computation for the actual as-formed LFTs with fiber bundles under high fiber content. After the correction, the analytical predictions had good agreement with the experimental stiffness values from tensile tests on the LFTs. Our analysis shows that it is essential to incorporate the effect of the presence of fiber bundles to accurately predict the composite properties. This work involved the use of experimental values of fiber orientation and serves as the basis for computing part stiffness as a function of mold filling conditions. The work also explains why the modulus tends to level off with fiber concentration.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prediction of Young’s Modulus for Injection Molded Long Fiber Reinforced Thermoplastics

Chen

Baird

2018

J. Compos. Sci.

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“…Additionally, their higher fiber aspect ratios lead to better mechanical properties than their equivalent short‐fiber composites . This has provided the recent impetus toward the development of predictive engineering models for understanding their processing–structure–performance relationship and for optimizing the design and manufacture of the associated components to meet weight and cost reduction requirements .…”

Section: Introductionmentioning

confidence: 99%

“…In addition to the fiber and resin material properties, the fiber orientation distribution (FOD) and fiber length distribution (FLD) directly affect the mechanical properties of the injection molded LFTs. Thus, significant research efforts have been directed toward developing constitutive models to predict these micro‐mechanical parameters and thus not only predict the mechanical behavior of injection molded LFTs but to also improve the molding process and reduce the severe fiber attrition commonly observed . The validation of such predictive models requires the experimental characterization of the FOD and FLD values.…”

Section: Introductionmentioning

confidence: 99%

Reliability in the characterization of fiber length distributions of injection molded long carbon fiber composites

Sharma¹,

Kijewski²,

Fifield

et al. 2017

Polymer Composites

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The mechanical properties of a discontinuous fiber reinforced composite material are dependent on the length of the reinforcing fibers. Long-fiber thermoplastic (LFT) composites offer a compromise between ease of manufacture and mechanical properties for structural applications and are conventionally made using fibers that are initially 10-14 mm long. However, fiber attrition during the injection molding process significantly reduces the final fiber lengths in molded composite and produces a fiber length distribution (FLD), which depends on the processing parameters. Thus, accurate FLD measurements are important for reliable predictions of the composite properties. Here, we present a detailed methodology for experimentally measuring the FLD in LFT composites based on best practices. Possible biases occurring during the measurement process are discussed and their effect on the measured FLD and averaged fiber length values are evaluated. We then employ a Mori-Tanaka implementation of the Eshelby model to predict the elastic stiffness of the LFT composite and analyze the sensitivity of the stiffness values to the biases in the FLD measurements. POLYM. COMPOS., 00:000-000,

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Polypropylene

Gahleitner

Paulik

2014

Ullmann's Encyclopedia of Industrial Chemistry

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Young’s modulus prediction of long fiber reinforced thermoplastics

Cited by 43 publications

References 18 publications

Prediction of Young’s Modulus for Injection Molded Long Fiber Reinforced Thermoplastics

Prediction of Young’s Modulus for Injection Molded Long Fiber Reinforced Thermoplastics

Reliability in the characterization of fiber length distributions of injection molded long carbon fiber composites

Polypropylene

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