Experimental determination and modeling of thermal conductivity tensor of carbon/epoxy composite

Villière, Maxime; Lecointe, Damien; Sobotka, Vincent; Boyard, Nicolas; Delaunay, Didier

doi:10.1016/j.compositesa.2012.10.012

Cited by 74 publications

(46 citation statements)

References 24 publications

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“…The Table 2 shows the results of the global conductivity tensor (k x , k y , k z ) of the PC glass fiber composite for several tests. As a preliminary validation, we compared our results to the analytical method developed in [20] concerning modeling thermal conductivities in the unidirectional composites. This method used two steps.…”

Section: Thermal Characterization Of Reinforced Ud Polycarbonate (Pc)mentioning

confidence: 91%

“…PC glass fiber (40%) (k PC = 0.2 W m À1 K À1 ) (k fiber = 1 W m À1 K À1 ) Longitudinal thermal conductivities: k x (W m À1 K À1 ) (transverse direction to the fibers in the plane) Longitudinal thermal conductivities: k y (W m À1 K À1 ) (parallel direction to the fibers) Transverse thermal conductivity k z (W m À1 K À1 ) Experimental method 0.201 0.305 0.139 Analytical method [20] 0.176 0.28 0.176 Fig. 13.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

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Laser transmission welding of composites-Part A: Thermo-physical and optical characterization of materials

Asseko

Cosson

Schmidt

et al. 2015

Infrared Physics & Technology

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h i g h l i g h t sWe present a simplified experimental approach to determine optical parameters of UD thermoplastic composites materials.Comparison with a numerical approach shows a fair agreement between them, and gives confidence to use the developed model. We develop a well-design device in order to evaluate anisotropic thermal conductivities of composites. a b s t r a c tIn the present study, thermophysical and optical characterization of UD thermoplastic composites materials have been investigated. Knowledge of these parameters is of utmost importance to better understanding of any process that involves laser processing of materials. These properties play an important role during the simulation of the welding process. Two optical parameters namely transmission factor (T k ) and reflection factor (R k ) are measured using IRFT spectrometer and integrating sphere at the laser wavelength. The transmittivity coefficient (s k ) and reflectivity coefficient (q k ) were determined using two approaches. A simplified experimental approach and numerical approach based on an inverse method program. Comparison between the two approaches is presented. A well-design device has been also developed in order to evaluate anisotropic thermal conductivities of composites. And finally we compared the experimental results to the analytical method concerning modeling thermal conductivities in composites.

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Section: Thermal Characterization Of Reinforced Ud Polycarbonate (Pc)mentioning

confidence: 91%

Section: Conclusion and Prospectsmentioning

confidence: 99%

Laser transmission welding of composites-Part A: Thermo-physical and optical characterization of materials

Asseko

Cosson

Schmidt

et al. 2015

Infrared Physics & Technology

View full text Add to dashboard Cite

show abstract

“…It should be noted the anisotropic nature of the workpiece, with strong differences in thermal properties between matrix and fiber, 27 resulting in no uniform heat propagation depending on fiber orientation, as will be shown in next section. The heat generated due to material deformation was assumed to be negligible.…”

Section: Numerical Modellingmentioning

confidence: 99%

Modelling thermal effects in machining of carbon fiber reinforced polymer composites

Santiuste

Díaz-Álvarez

Soldani

et al. 2013

Journal of Reinforced Plastics and Composites

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Machining-induced damage is commonly observed when manufacturing components based on carbon fiber reinforced polymer (CFRP) composites. Despite the importance of thermal effects in machining CFRPs, this problem has been poorly analyzed in the literature. Predictive tools are not available for thermal phenomena involved during cutting, while only few experimental studies have been found. In this paper, a three-dimensional (3D) finite element model of orthogonal machining of CFRPs including thermal effects is presented. Predicted thermal and mechanical intralaminar damage showed strong influence of fiber orientation. Thermally affected area was larger than mechanically damaged zone. This fact confirms the importance of accounting for thermal effects when modelling CFRP machining.

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“…Inverse methodology has been widely used in thermal analysis along with several other experimental procedures [2] [3]. An approach based on inverse thermal analysis allows identifying unknown parameters of interest from experimental measurements.…”

mentioning

confidence: 99%

Measurement of the In-Plane Thermal Conductivity of Long Fiber Composites by Inverse Analysis

Assaf¹,

Sobotka²,

Trochu³

2017

OJCM

Self Cite

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In the present work, inverse thermal analysis of heat conduction is carried out to estimate the in-plane thermal conductivity of composites. Numerical simulations were performed to determine the optimal configuration of the heating system to ensure a unidirectional heat transfer in the composite sample. Composite plates made of unsaturated polyester resin and unidirectional glass fibers were fabricated by injection to validate the methodology. A heating and cooling cycle is applied at the bottom and top surfaces of the sample. The thermal conductivity can be deduced from transient temperature measurements given by thermocouples positioned at three chosen locations along the fibers direction. The inverse analysis algorithm is initiated by solving the direct problem defined by the one-dimensional transient heat conduction equation using a first estimate of thermal conductivity. The integral in time of the square distance between the measured and predicted values is the criterion minimized in the inverse analysis algorithm. Finally, the evolution of the in-plane composite thermal conductivity can be deduced from the experimental results by the rule of mixture.

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Experimental determination and modeling of thermal conductivity tensor of carbon/epoxy composite

Cited by 74 publications

References 24 publications

Laser transmission welding of composites-Part A: Thermo-physical and optical characterization of materials

Laser transmission welding of composites-Part A: Thermo-physical and optical characterization of materials

Modelling thermal effects in machining of carbon fiber reinforced polymer composites

Measurement of the In-Plane Thermal Conductivity of Long Fiber Composites by Inverse Analysis

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