In this study, the reverse nonequilibrium molecular dynamics (RNEMD) method is applied to compute the thermal conductivity of nanofluid (argon-graphene) and to examine the effects of volume fraction and size of graphene nanosheets on thermal conductivity enhancement by varying the concentration graphene in liquid argon and the graphene nanosheets area, respectively. Furthermore, the thermal conductivities predicted by RNEMD method are compared with those of nanofluid (argon-metal). The results have revealed a strong dependence on volume fraction and enhanced thermal conductivity of nanofluid, in which the thermal conductivity increases when the graphene volume fraction increases. Furthermore, the results have displayed that the size of nanosheet has no significant effect on thermal conductivity enhancement of nanofluid at a low graphene nanosheet size. Additionally, it has been found that the thermal conductivity values of nanofluid (argon-graphene) are slightly higher compared to those of suspension of metallic nanoparticles in liquid argon.

在本研究中，应用反向非平衡分子动力学 (RNEMD) 方法计算纳米流体（氩-石墨烯）的热导率，并通过改变石墨烯中的浓度来检查石墨烯纳米片的体积分数和尺寸对热导率增强的影响。分别为液氩和石墨烯纳米片区域。此外，将 RNEMD 方法预测的热导率与纳米流体（氩金属）的热导率进行了比较。结果表明，纳米流体的体积分数和热导率增强具有很强的依赖性，其中当石墨烯体积分数增加时，热导率增加。此外，结果表明，在低石墨烯纳米片尺寸下，纳米片的尺寸对纳米流体的热导率增强没有显着影响。此外，已经发现纳米流体（氩-石墨烯）的热导率值略高于液态氩中金属纳米颗粒悬浮液的热导率值。