2021
DOI: 10.1007/s10765-021-02877-y
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A Study of the Effects of Graphene Nanosheets on the Thermal Conductivity of Nanofluid (Argon-Graphene) Using Reverse Nonequilibrium Molecular Dynamics Method

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Cited by 7 publications
(7 citation statements)
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“…Whereas the NEMD method does not guarantee mass conservation during the simulation and molecules are prone to deformation, a reverse perturbation non-equilibrium molecular dynamics (RNEMD) method is proposed. [26,27] This method divides the model into several layers uniformly along a certain direction, with the outermost layer at each end referred to as the "hot layer" and the middle layer as the "cold layer", as shown in Figure 5. By exchanging the kinetic energy between the coldest particles in the hot layer and the hottest particles in the cold layer, the energy is exchanged and averaged over several times to form a stable temperature gradient in the system.…”
Section: Thermal Conductivitymentioning
confidence: 99%
“…Whereas the NEMD method does not guarantee mass conservation during the simulation and molecules are prone to deformation, a reverse perturbation non-equilibrium molecular dynamics (RNEMD) method is proposed. [26,27] This method divides the model into several layers uniformly along a certain direction, with the outermost layer at each end referred to as the "hot layer" and the middle layer as the "cold layer", as shown in Figure 5. By exchanging the kinetic energy between the coldest particles in the hot layer and the hottest particles in the cold layer, the energy is exchanged and averaged over several times to form a stable temperature gradient in the system.…”
Section: Thermal Conductivitymentioning
confidence: 99%
“…As a result, a reverse NEMD (RNEMD) method is proposed. [28,29] In this method, the model is divided into several layers along a certain direction; the outermost layer at both the ends is called the "thermal layer," and the middle layer is called the "cold layer," which is shown in Figure 4. Energy exchange is realized by exchanging the kinetic energy between the coldest particles in hot layer and the hottest particles in cold layer, and the average value is obtained, so as to form a stable temperature gradient in the system.…”
Section: Thermal Conductivitymentioning
confidence: 99%
“…For two-layered graphene, the peak thermal resistance is reduced by almost 50% with an oxygen ratio of only 0.5%. Hamid et al 35,36 studied the effect of the volume fraction of the graphene, the size of the graphene, and the formation of the liquid layer at the base fluid/graphene interface on the thermal conductivity of liquid argon-graphene nanofluids using NEMD. Their findings indicated that the thermal conductivity of GNP nanofluids increased with the volume fraction of graphene.…”
Section: Introductionmentioning
confidence: 99%