Thermal conductivity enhancement of carbon fiber composites

Wang, Moran; Kang, Qinjun; Pan, Ning

doi:10.1016/j.applthermaleng.2008.03.004

Cited by 183 publications

(71 citation statements)

References 28 publications

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“…In these models, the requirement of the empirical determination of a few parameters on a case-by-case basis makes it less suitable for using it for the design and optimization of new or existing materials. Wang et al [43] developed a 3-D numerical model to predict the thermal conductivity enhancement of carbon fiber composites using a lattice Boltzmann scheme to solve governing energy transport equations, which requires no empirical parameters. However, this model predicted slightly lower values than experiment data, probably due to non-consideration of convective heat transfer in fiber-oil suspension.…”

Section: S-swnts L-swnts Mwntsmentioning

confidence: 99%

Review on Synthesis, Thermo-Physical Property, and Heat Transfer Mechanism of Nanofluids

Patil

Seo²,

Kang

et al. 2016

Energies

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Nanofluids are suspended nano-sized particles in a base fluid. With increasing demand for more high efficiency thermal systems, nanofluids seem to be a promising option for researchers. As a result, numerous investigations have been undertaken to understand the behaviors of nanofluids. Since their discovery, the thermo-physical properties of nanofluids have been under intense research. Inadequate understanding of the mechanisms involved in the heat transfer of nanofluids has been the major obstacle for the development of sophisticated nanofluids with the desired properties. In this comprehensive review paper, investigations on synthesis, thermo-physical properties, and heat transfer mechanisms of nanofluids have been reviewed and presented. Results show that the thermal conductivity of nanofluids increases with the increase of the operating temperature. This can potentially be used for the efficiency enhancement of thermal systems under higher operating temperatures. In addition, this paper also provides details concerning dependency of the thermo-physical properties as well as synthesis and the heat transfer mechanism of the nanofluids.

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Section: S-swnts L-swnts Mwntsmentioning

confidence: 99%

Review on Synthesis, Thermo-Physical Property, and Heat Transfer Mechanism of Nanofluids

Patil

Seo²,

Kang

et al. 2016

Energies

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“…thermal conductivity) of composites is expensive and time consuming, computational methods have been found to provide efficient alternatives for predicting the best parameters of composites, especially those having complex geometries. To achieve a reliable prediction, one needs to work on two aspects: a good description of the structural details of fibrous materials, and an efficient numerical method for the solution of energy equations through the fibrous structures (Wang et al 2009). The need to determine the thermal conductivity of fibres for design purposes has been the motivation of work .…”

Section: Introductionmentioning

confidence: 99%

“…Various microstructures both in 2-and 3-dimensions are presented to demonstrate such a systematic procedure of conductive material design. The effective thermal conductivity enhancement of carbon fibre composites was investigated in contribution (Wang et al, 2009) using a threedimensional numerical method. The authors of the paper (Wang&Pan, 2008) have developed a random generation-growth method to reproduce the microstructures of opencell foam materials via computer modelling, and then solve the energy transport equations through the complex structure by using a high-efficiency lattice Boltzmann method.…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Effective Thermal Conductivity of a Composite

Jopek¹,

Stręk²

2011

Convection and Conduction Heat Transfer

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“…An expedient solution for this problem was to assume ρc p = 1 [26,43], so that λ is numerically equal to a. This assumption ρc p = 1 has been adopted widely and works well for cases with negligible thermal contact resistance [26][27][28][29][30]44] However when the temperature and heat flux at interfaces have to be considered, the assumption (ρc p = 1) may lead to conflict so that the entire framework needs to be reformulated.…”

Section: Lbm Scheme For Thermal Conductionmentioning

confidence: 99%

“…Wang et al [25] developed a general scheme for fluid-solid interfacial conjugate heat transfer process. Consequently, this type of method has gained wide application in predictions of effective thermal properties of engineering multiphase materials, with results validated by experimental data [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Lattice Boltzmann Modeling of Thermal Conduction in Composites with Thermal Contact Resistance

Xie

Wang

et al. 2015

Commun. Comput. Phys.

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Abstract. The effective thermal conductivity of composite materials with thermal contact resistance at interfaces is studied by lattice Boltzmann modeling in this work. We modified the non-dimensional partial bounce-back scheme, proposed by Han et al. [Int. J. Thermal Sci., 2008. 47: 1276-1283, to introduce a real thermal contact resistance at interfaces into the thermal lattice Boltzmann framework by re-deriving the redistribution function of heat at the phase interfaces for a corrected dimensional formulation. The modified scheme was validated in several cases with good agreement between the simulation results and the corresponding theoretical solutions. Furthermore, we predicted the effective thermal conductivities of composite materials using this method where the contact thermal resistance was not negligible, and revealed the effects of particle volume fraction, thermal contact resistance and particle size. The results in this study may provide a useful support for materials design and structure optimization. 65.80.-g PACS:

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Thermal conductivity enhancement of carbon fiber composites

Cited by 183 publications

References 28 publications

Review on Synthesis, Thermo-Physical Property, and Heat Transfer Mechanism of Nanofluids

Review on Synthesis, Thermo-Physical Property, and Heat Transfer Mechanism of Nanofluids

Optimization of the Effective Thermal Conductivity of a Composite

Lattice Boltzmann Modeling of Thermal Conduction in Composites with Thermal Contact Resistance

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