Prediction of failure properties of injection-molded short glass fiber-reinforced polyamide 6,6

Sasayama, Toshiki; Okabe, Tomonaga; Aoyagi, Yoshiteru; Nishikawa, Masaaki

doi:10.1016/j.compositesa.2013.05.004

Cited by 30 publications

(14 citation statements)

References 23 publications

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“…Very few studies deal with failure prediction of SFRC and they are generally based on deterministic approaches. Among them, approaches developed by Kammoun et al (2011) and Sasayama et al (2013) lead to interesting results. Kammoun et al (2011) use a deterministic approach based on Tsai-Hill and maximum strain criteria in order to predict failure of pseudo-grains constituting the composite, through a two-step homogenisation procedure.…”

Section: Introductionmentioning

confidence: 97%

“…In the literature, the influence of fibre/matrix debonding (as well as fibre breakage) on SFRC behaviour is generally modelled by probability laws of debonding (or fibre breaks) at a given fibre stress or stress triaxiality state (Kabir et al, 2006;Sasayama et al, 2013;Zhu and Schmauder, 2003). However, this approach is purely deterministic and therefore does not integrate the physics of the mechanisms.…”

Section: Introductionmentioning

confidence: 99%

“…Kammoun et al (2011) use a deterministic approach based on Tsai-Hill and maximum strain criteria in order to predict failure of pseudo-grains constituting the composite, through a two-step homogenisation procedure. Sasayama et al (2013) use complex periodic unit cell (UC) simulations that link fibre breaks and matrix cracking, based on a Weibull distribution for probability of fibre breakage. Although very efficient, applicability of their model is restricted because of the limitations of UC method.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modelling of progressive fibre/matrix debonding in short-fibre reinforced composites up to failure

Notta‐Cuvier

Lauro²,

Bennani³

2015

International Journal of Solids and Structures

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a b s t r a c tMechanical behaviour of short-fibre reinforced composites (SFRC) can be affected by numerous damage phenomena. This paper focuses on the modelling of fibre/matrix debonding initiated at fibre tips, which is the dominant damage mechanism when a majority of short-fibres are subjected to local tensile loadings. A failure criterion for SFRC is proposed based on a critical amount of voids located in debonded areas. Very accurate mechanical states at break can be predicted for SFRC with complex fibre distribution of orientation, for different kinds of uniaxial and biaxial tensile loadings.

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling of progressive fibre/matrix debonding in short-fibre reinforced composites up to failure

Notta‐Cuvier

Lauro²,

Bennani³

2015

International Journal of Solids and Structures

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“…As a result, knowing the flow induced fiber orientation is of great importance because the fiber orientation state significantly affects the composite mechanical properties. Accordingly, accurate and efficient predictions of the fiber orientation are challenging tasks and have been investigated for many years owing to their industrial applications .…”

Section: Introductionmentioning

confidence: 99%

Sequential kriging‐based closure approximations for flow‐induced fiber orientation and prediction of composite stiffness

Zhao

Cheng

2018

Polymer Composites

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Orientation tensor has been widely applied to predict the orientation state of the fibers in injection molding simulations. Unfortunately, calculating the second‐order orientation tensor needs to know the four‐order orientation tensor, thus requiring a closure approximation. Developing an efficient and accurate closure has been a challenging subject. This article develops a sequential Kriging‐based closure (KRI) approximation. We constructed the Kriging approximation of fourth‐order orientation tensor in terms of the second‐order orientation tensor. The maximization of expected improvement adds the second‐order orientation tensors to improve the accuracy of the closure. Results demonstrate that the prediction of the KRI closure to accurately predict fiber orientation and fiber‐reinforced composites stiffness is more accurate than the Hybrid, Orthotropic, and Natural closure for majority of the flows in industrial manufacturing processes. POLYM. COMPOS., 40:1748–1761, 2019. © 2018 Society of Plastics Engineers

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“…It is well known that the mechanical properties of short‐fibre‐reinforced polymers (SFRP), like stiffness and static or fatigue strength, strongly depend on fibre length and distribution, . A quantitative evaluation of the micro‐structure and of its effects on damage propagation is therefore required to develop accurate models to be used in the design of SFRP.…”

Section: Introductionmentioning

confidence: 99%

Threshold Identification for Micro‐Tomographic Damage Characterisation in a Short‐Fibre‐Reinforced Polymer

Cosmi

Ravalico

2015

Strain

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The micro-tomographic technique represents an important tool for the analysis of the internal structure in short-fibre-reinforced\ud polymers samples. For the investigation of damage mechanisms, detection of the micro-voids within the matrix can be facilitated by applying a tensile\ud load in-situ during the scan. The investigations here described started from two micro-CT acquisitions, at different strain levels, of the same\ud PA6.6GF10 sample. An original procedure for micro-voids identification is proposed, based on the statistical elaboration of the matrix grey-tone\ud range. In order to validate the suggested procedure beyond visual inspection, an independent method based on an optimisation approach, which\ud puts to use the two available micro-tomographic sets, was developed and applied. The effect of the tensile load, which can induce a progression\ud of the damage within the specimen, was investigated, and the relations among strain, fibre distribution and micro-voids volumetric fraction were\ud studied. Our findings point out that the mechanisms of damage progression, even under static loading as in this case, appear to be more complex\ud than those related to the fibre-density-induced stress concentrations alone and require further investigation

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Prediction of failure properties of injection-molded short glass fiber-reinforced polyamide 6,6

Cited by 30 publications

References 23 publications

Modelling of progressive fibre/matrix debonding in short-fibre reinforced composites up to failure

Modelling of progressive fibre/matrix debonding in short-fibre reinforced composites up to failure

Sequential kriging‐based closure approximations for flow‐induced fiber orientation and prediction of composite stiffness

Threshold Identification for Micro‐Tomographic Damage Characterisation in a Short‐Fibre‐Reinforced Polymer

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