Thermal conductivity calculation of nano-suspensions using Green–Kubo relations with reduced artificial correlations
Thermal conductivity calculation of nano-suspensions using Green–Kubo relations with reduced artificial correlations
复制标题
使用减少人工相关性的 Green-Kubo 关系计算纳米悬浮液的导热系数
DOI:
10.1088/1361-648x/aa5f08
复制
发表时间:
2017
期刊:
影响因子:
--
通讯作者:
Yang, Vigor
中科院分区:
文献类型:
--
作者:
Muraleedharan, Murali Gopal;Sundaram, Dilip Srinivas;Henry, Asegun;Yang, Vigor
The presence of artificial correlations associated with Green–Kubo (GK) thermal conductivity calculations is investigated. The thermal conductivity of nano-suspensions is calculated by equilibrium molecular dynamics (EMD) simulations using GK relations. Calculations are first performed for a single alumina (Al 2 O 3) nanoparticle dispersed in a water medium. For a particle size of 1 nm and volume fraction of 9%, results show enhancements as high as 235%, which is much higher than the Maxwell model predictions. When calculations are done with multiple suspended particles, no such anomalous enhancement is observed. This is because the vibrations in alumina crystal can act as low frequency perturbations, which can travel long distances through the surrounding water medium, characterized by higher vibration frequencies. As a result of the periodic boundaries, they re-enter the system resulting in a circular resonance of thermal fluctuations between the alumina particle and its own image, eventually leading to artificial correlations in the heat current autocorrelation function (HCACF), which when integrated yields abnormally high thermal conductivities. Adding more particles presents' obstacles' with which the fluctuations interact and get dissipated, before they get fed back to the periodic image. A systematic study of the temporal evolution of HCACF indicates that the magnitude and oscillations of artificial correlations decrease substantially with increase in the number of suspended nanoparticles.
登录
查看更多内容
影响因子:
4.4
作者:
D. Sundaram;V. Yang;Ying Huang;G. Risha;R. Yetter
通讯作者:
D. Sundaram;V. Yang;Ying Huang;G. Risha;R. Yetter
影响因子:
2.7
作者:
M. Muraleedharan;D. Sundaram;V. Yang
通讯作者:
V. Yang
影响因子:
7
作者:
Xuan Wu;Ranganathan Kumar;P. Sachdeva
通讯作者:
P. Sachdeva
DOI:
10.1016/0095-8522(55)90047-7
发表时间:
1955
期刊:
Journal of Colloid Science
影响因子:
--
作者:
S. Ross;W. Winkler
通讯作者:
W. Winkler
影响因子:
4
作者:
P. Sachdeva;Ranganathan Kumar
通讯作者:
Ranganathan Kumar