Dependence of resistivity on a component of the plastic part of strain tensor

Barta, Štefan; Dieška, Peter; Bielek, J.; Smida, T.; Magula, V.

doi:10.1016/j.actamat.2005.04.006

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…To bring the major characteristics of a real FGM into our algorithm, the random effect has to be introduced during the reproduction of the morphology of the system. Although the random location of obstacles is the most simple and popular method to construct an artificial material, 17,[42][43][44] it loses the details of shapes and connections of the dispersed phase. Recently, we have developed a random generation-growth algorithm for reproducing the microstructures of various granular porous media with random distribution and multiphase interactions.…”

Section: A Benchmarksmentioning

confidence: 99%

Transport properties of functionally graded materials

Wang¹,

Meng

Pan³

2007

Journal of Applied Physics

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This paper presents a numerical method to predict the effective transport properties of multiphase functionally graded materials, accounting for the effects of random phase distribution and multiphase interactions. Firstly, the multiphase microstructures of such graded materials are reproduced by a random generation-growth algorithm, and then the corresponding transport governing equations are solved using a high-efficiency lattice Boltzmann method. The predicted effective electric and thermal conductivities agree well with the existing experimental data for both two-and three-phase functionally graded materials. Furthermore when the methodology is extended to other transport and even nontransport physical properties of multiphase composites, our simulated results still agree much better with the available experimental data than the existing theoretical models. This may exhibit the robusticity and wider applicability of the present approach.

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Section: A Benchmarksmentioning

confidence: 99%

Transport properties of functionally graded materials

Wang¹,

Meng

Pan³

2007

Journal of Applied Physics

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“…Meanwhile the stochastic methods for representing the perturbations in porous media have gained much attention recently [29,30]. Shoshany et al [31] and Barta and Dieska [32] modeled the thermal conductivity of porous materials using the Monte Carlo methods to reflect the structural fluctuations during the process. Zhang et al [33,34] developed a randomly mixed material model (RMM) for predicting the effective thermal conductivity of moist porous media.…”

Section: Introductionmentioning

confidence: 99%

Mesoscopic simulations of phase distribution effects on the effective thermal conductivity of microgranular porous media

Wang

Pan

Wang

et al. 2007

Journal of Colloid and Interface Science

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“…If this transformation can be expressed in changes of density dislocations, the observed increase in conductivity to tensile strength crossproperty connections can be probably theoretically explained. Recently, Barta et al [11] have shown using non-equilibrium thermodynamics that it is possible by measuring the resistivity changes in the material to obtain the dependence of the damage variable on the plastic strain tensor.…”

Section: Resultsmentioning

confidence: 99%

Cross-property connections for copper–graphite composites

2015

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Copper-graphite composite materials in the range of 0-10 vol% of carbon phase were prepared from the mixture of copper and graphite powders by hot isostatic pressing. The microstructure, mechanical (tensile strength, elongation to fracture) and physical (electrical and thermal conductivity) properties of composite samples were investigated, and the cross-property connections were calculated. It was shown that electrical and thermal conductivity cross-property (Lorenz number) is almost constant and increases only slightly (no more than 10 % increase was observed). This implies that in the investigated composition range the Lorenz number of a copper-graphite composite system behaves according to Franz-Wiedemann law for pure metals at constant temperature. On the contrary, the conductivity to tensile strength cross-property connections showed significant linear increase (over 200 % in the investigated composition range) for both electrical conductivity and thermal conductivity of composite materials. The cross-property connections of conductivity to the elongation to fracture exhibit a nonlinear dependence on the volume fraction of graphite.

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Dependence of resistivity on a component of the plastic part of strain tensor

Cited by 5 publications

References 2 publications

Transport properties of functionally graded materials

Transport properties of functionally graded materials

Mesoscopic simulations of phase distribution effects on the effective thermal conductivity of microgranular porous media

Cross-property connections for copper–graphite composites

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