Prediction of thermo-mechanical properties for compression moulded composites

Lielens, Grégory; Pirotte, P; Couniot, A.; Dupret, François; Keunings, Roland

doi:10.1016/s1359-835x(97)00039-0

Cited by 142 publications

(71 citation statements)

References 12 publications

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“…The results are also compared to the micromechanical model by Lielens for extra verification (Lielens et al 1998). Figure 15 shows the modulus obtained from the model along with the experimental data as function of volume fraction and particle diameter, respectively.…”

Section: Elastic Modulus Of the Compositesmentioning

confidence: 99%

“…This divergence was expected since the particles with diameter less than 1 µm were ignored during the SEM image-RVE conversion to enable a reasonable mesh density. Indeed, the volume fraction of the RVEs obtained using ImageJ (Rasband 2016), was around 2-3 vol% lower than the actual volume fraction The micromechanical Lielens model (Lielens et al 1998) was next employed to provide a comparison with the experimental and numerical predictions. The numerical predictions for the composite's modulus are plotted against the actual RVE volume fraction and compared with the Lielens predictions in Fig.…”

Section: Elastic Modulus Of the Compositesmentioning

confidence: 99%

“…The models are based on the description of the strain field inside and around a rigid particle embedded in an infinite matrix (Eshelby 1957;Hashin and Shtrikman 1963;Mori and Tanaka 1973;Teng 2010) as derived by Eshelby (1957) for linear elasticity. Eshelby's work provided the basis for several micromechanical models that followed, resulting in the well-known Mori and Tanaka method (Mori and Tanaka 1973), several bounding methods such as the Hashin and Shtrikman (1963), Weng (1992) and Lielens et al (1998). For a comprehensive review of such models the reader is referred to .…”

Section: Introductionmentioning

confidence: 99%

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Development of an image-based numerical model for predicting the microstructure–property relationship in alumina trihydrate (ATH) filled poly(methyl methacrylate) (PMMA)

2018

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Particulate composites are found in a wide range of applications. Their heterogeneous microstructure affects their bulk behavior and structural performance, however tools for predicting this important structure-property relationship are still lacking. In this study, a numerical method that can provide predictions of the mechanical response of a particulate polymeric matrix composite as a function of volume fraction and particle mean diameter is presented. The work is derived for an alumina trihydrate filled poly(methyl methacrylate) but the methodology is generic and can be used for any particulate composite. Representative Volume elements are determined through images obtained from scanning electron microscopy. The model takes into account the possibility of failure through interface debonding as well as cracks through the matrix. The model predictions for the modulus and fracture strength of the composites are validated through independent experiments on the composite. The numerical results are also used to qualitatively explain the trends measured regarding the fracture toughness of the composites. Compared to other literature on particulate composites, our study is the first to report accurate stress-strain distributions as well as fracture predictions whilst all the necessary model parameters defining the failure criteria are all derived through independent experiments. This paves R. Zhang · J. Y. S. Li-Mayer · M. N. Charalambides (B) Department of Mechanical Engineering, Imperial College London, South Kensington, London SW7 2AZ, UK e-mail: m.charalambides@imperial.ac.uk the way for a relatively simple methodology for determining structure-property relationships in composites design, enabling smarter material utilization and optimal mechanical properties.

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Section: Elastic Modulus Of the Compositesmentioning

confidence: 99%

Section: Elastic Modulus Of the Compositesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of an image-based numerical model for predicting the microstructure–property relationship in alumina trihydrate (ATH) filled poly(methyl methacrylate) (PMMA)

2018

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“…(1) 2 THEORY Several theories ( [1,2] for instance) proceed in two steps to predict the overall thermoelastic properties of such materials: first, the properties of a unidirectional composite are estimated, and then an orientation averaging procedure is applied over all directions. For the first step, it has been shown by Tucker and Liang [3] that, among a set of available theories, the Mori and Tanaka model [4] gives satisfactory results when compared with finite element simulations.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Thermoelastic Properties of an Injection molded short-fiber Composite: Experimental and Modelling

2008

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The accurate prediction of both the elastic properties and the thermal expansion coefficients is very important for the precise simulation of such processes as injection molding of short-fiber polymer-matrix composites. In this work, a two-step homogenization procedure is applied and compared with experimental values obtained on a polyarylamide/glass fiber composite for a broad range of temperatures. It is observed that the stiffness averaging version of the model surpasses the compliance averaging variant, especially when it is combined with a precise evaluation of the fourth-order orientation tensor. It is also demonstrated that the orthotropic closure approximations are significantly better than previous ones (linear, quadratic, and hybrid) and than a very recent one. Among the orthotropic closure approximations, the fitted ones lead to acceptable results, which are very close to those obtained with the experimentally measured fourth-order orientation tensor

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“…), self-consistent method based models (Kroner, 1958), models based on differential method (McLaughlin, 1977), Lielens models (Lielens et al, 1998) from which the equivalent modulus of elasticity (or its upper bound (UB) & lower bound (LB)) of a particulate filled composite can be determined based on the conventional expressions (Eq. (19)) of isotropic material properties by assuming the composite to be (quasi) isotropic and (quasi) homogeneous.…”

mentioning

confidence: 99%

Improvement of Soft Tooling Process Through Particle Reinforcement with Polyurethane Mould

Nandi¹,

Datta²

2011

J. Braz. Soc. Mech. Sci. & Eng.

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Prediction of thermo-mechanical properties for compression moulded composites

Cited by 142 publications

References 12 publications

Development of an image-based numerical model for predicting the microstructure–property relationship in alumina trihydrate (ATH) filled poly(methyl methacrylate) (PMMA)

Development of an image-based numerical model for predicting the microstructure–property relationship in alumina trihydrate (ATH) filled poly(methyl methacrylate) (PMMA)

Assessment of the Thermoelastic Properties of an Injection molded short-fiber Composite: Experimental and Modelling

Improvement of Soft Tooling Process Through Particle Reinforcement with Polyurethane Mould

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