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Preference Parameters for the Calculation of Thermal Conductivity by Multiparticle Collision Dynamics
by
Wang, Ruijin
, Li, Long
, Zhu, Zefei
, Zhang, Zhen
in
Algorithms
/ Argon
/ coarse-grained
/ Collision dynamics
/ Computation
/ Heat conductivity
/ Heat transfer
/ Mathematical analysis
/ Molecular dynamics
/ multiparticle collision dynamics (MPCD)
/ nanofluid
/ Nanofluids
/ Parameterization
/ parameterization investigation
/ Parameters
/ Reynolds number
/ Simulation
/ Solvents
/ Thermal conductivity
/ thermal conductivity (TC)
/ Viscosity
/ Workload
/ Workloads
2021
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Preference Parameters for the Calculation of Thermal Conductivity by Multiparticle Collision Dynamics
by
Wang, Ruijin
, Li, Long
, Zhu, Zefei
, Zhang, Zhen
in
Algorithms
/ Argon
/ coarse-grained
/ Collision dynamics
/ Computation
/ Heat conductivity
/ Heat transfer
/ Mathematical analysis
/ Molecular dynamics
/ multiparticle collision dynamics (MPCD)
/ nanofluid
/ Nanofluids
/ Parameterization
/ parameterization investigation
/ Parameters
/ Reynolds number
/ Simulation
/ Solvents
/ Thermal conductivity
/ thermal conductivity (TC)
/ Viscosity
/ Workload
/ Workloads
2021
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Preference Parameters for the Calculation of Thermal Conductivity by Multiparticle Collision Dynamics
by
Wang, Ruijin
, Li, Long
, Zhu, Zefei
, Zhang, Zhen
in
Algorithms
/ Argon
/ coarse-grained
/ Collision dynamics
/ Computation
/ Heat conductivity
/ Heat transfer
/ Mathematical analysis
/ Molecular dynamics
/ multiparticle collision dynamics (MPCD)
/ nanofluid
/ Nanofluids
/ Parameterization
/ parameterization investigation
/ Parameters
/ Reynolds number
/ Simulation
/ Solvents
/ Thermal conductivity
/ thermal conductivity (TC)
/ Viscosity
/ Workload
/ Workloads
2021
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Preference Parameters for the Calculation of Thermal Conductivity by Multiparticle Collision Dynamics
Journal Article
Preference Parameters for the Calculation of Thermal Conductivity by Multiparticle Collision Dynamics
2021
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Overview
Calculation of the thermal conductivity of nanofluids by molecular dynamics (MD) is very common. Regrettably, general MD can only be employed to simulate small systems due to the huge computation workload. Instead, the computation workload can be considerably reduced due to the coarse-grained fluid when multiparticle collision dynamics (MPCD) is employed. Hence, such a method can be utilized to simulate a larger system. However, the selection of relevant parameters of MPCD noticeably influences the calculation results. To this end, parameterization investigations for various bin sizes, number densities, time-steps, rotation angles and temperatures are carried out, and the influence of these parameters on the calculation of thermal conductivity are analyzed. Finally, the calculations of thermal conductivity for liquid argon, water and Cu-water nanofluid are performed, and the errors compared to the theoretical values are 3.4%, 1.5% and 1.2%, respectively. This proves that the method proposed in the present work for calculating the thermal conductivity of nanofluids is applicable.
Publisher
MDPI AG,MDPI
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