A global-local non-linear modelling of effective thermal conductivity tensor of textile-reinforced composites

Bigaud, David; Goyhénèche, Jean‐Marc; Hamelin, P.

doi:10.1016/s1359-835x(01)00043-4

Cited by 19 publications

(15 citation statements)

References 11 publications

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“…(4) and (5), the distance E (as depicted in Fig. 1, E represents the x coordinate difference of K and J) and the slope of the segment JM can be calculated.…”

Section: D Geometric Model Generationmentioning

confidence: 99%

“…Two dimensional woven fabrics [4,5] are commonly employed in composite structures because of their light weight, low fabrication costs, ease of handling, high adaptability and tailorability. Different types of fibers, including carbon, glass, aramid and various matrix materials have been used to create these heterogeneous composite laminates for different applications.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of effective through-thickness thermal conductivity of woven fabric reinforced composites with embedded particles

Heider

Advani

2015

Composite Structures

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“…(4) and (5), the distance E (as depicted in Fig. 1, E represents the x coordinate difference of K and J) and the slope of the segment JM can be calculated.…”

Section: D Geometric Model Generationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prediction of effective through-thickness thermal conductivity of woven fabric reinforced composites with embedded particles

Heider

Advani

2015

Composite Structures

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“…The temperature difference T H − T C is successively applied along the three directions. From these three numerical experiments, the effective thermal conductivity tensor of the composite is computed by the relation [9],…”

Section: Effective Thermal Conductivity Tensor Of the Compositementioning

confidence: 99%

A Multiscale Model for the Effective Thermal Conductivity Tensor of a Stratified Composite Material

Goyhénèche

Cosculluela

2005

Int J Thermophys

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Thermal modeling of composites has three essential objectives: (i) comprehension of their thermal behavior; (ii) composite scaling in order to satisfy specific requirements; and (iii) optimal analysis of experimental results from thermal characterization. For a complete study of the material, each of these three points must be taken into account at the fiber scale (≈ 10 µm), the yarn scale (≈ 1 mm), and the composite scale (≈ 10 cm). This work presents multi-scale modeling of the effective thermal conductivity tensor of a stratified composite material made from carbon fibers, phenolic resin, and carbon loads. The longitudinal and transverse thermal conductivities of the yarn are computed from optical microscopic imaging of the material. The isotropic thermal conductivity of the loaded matrix is computed by the Bruggeman model. Then, the thermal conductivity tensor is determined by a finite element method taking into account the morphology of the fabric. Computed values are close to experimental values measured by classical methods. Finally, analytical relations are proposed to obtain an efficient model which can be used in a multiphenomenon simulation of the composite structure.

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“…Current homogenization research focuses mainly on multiphysics (i.e. thermomechanical, electrothermal, piezoelectric) problems as well as higher order homogenization concepts [26], [27]. These paradigms are more and more applied to a wide range of engineering disciplines.…”

Section: Introductionmentioning

confidence: 99%

Electrothermal Multiscale Modeling and Simulation Concepts for Power Electronics

Köck¹,

Eiser²

2016

IEEE Trans. Power Electron.

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This paper presents a finite element based simulation methodology to improve on multiscale modeling and analysis limitations of power electronics development. The method utilizes homogenization and non-matching grid concepts to offer a high degree of flexibility and reduce computational effort. The applied homogenization method provides effective material properties to realize full chip modeling performance without the need to model geometric details. The concept of non-matching grids allows the inclusion of a sub-region with substantially finer mesh than its surrounding regions. This allows the flexible integration of micrometer scale geometries with a high degree of detail within the full chip model. Both concepts are thoroughly introduced and an application to a state-of-the-art power electronics semiconductor technology is presented. This work focus on electrothermal interaction and is experimentally verified on a dedicated test structure. The presented results provide electrothermal insights in current power electronic technologies and emphasize their potential to further improve the robustness and reliability of next generation technologies.Index Terms-power semiconductor devices, heat transfer, electrothermal effects, thermal characterization, finite element methods, multiscale modeling 0885-8993 (c)

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A global-local non-linear modelling of effective thermal conductivity tensor of textile-reinforced composites

Cited by 19 publications

References 11 publications

Prediction of effective through-thickness thermal conductivity of woven fabric reinforced composites with embedded particles

Prediction of effective through-thickness thermal conductivity of woven fabric reinforced composites with embedded particles

A Multiscale Model for the Effective Thermal Conductivity Tensor of a Stratified Composite Material

Electrothermal Multiscale Modeling and Simulation Concepts for Power Electronics

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