Investigation on the aggregation structure of nanoparticle on the thermal conductivity of nanofluids by molecular dynamic simulations

被引：47

作者：

Liao, Jibang ^{[1
,2
]}

Zhang, Aimin ^{[2
]}

Qing, Shan ^{[1
,2
]}

Zhang, Xiaohui ^{[1
,2
]}

Luo, Zhumei ^{[1
,2
]}

机构：

[1] State Key Lab Complex Nonferrous Met Resources Cl, Kunming 650093, Yunnan, Peoples R China

[2] Kunming Univ Sci & Technol, Dept Met & Energy Engn, Kunming 650093, Yunnan, Peoples R China

来源：

POWDER TECHNOLOGY | 2022年 / 395卷

基金：

中国国家自然科学基金;

关键词：

Nanofluids; Equilibrium molecular dynamics; Thermal conductivity; Aggregation morphology; Micro-mechanism; LIQUID-SOLID INTERFACE; CU-AR NANOFLUIDS; EQUILIBRIUM; LAYER;

D O I：

10.1016/j.powtec.2021.10.007

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

In this paper, equilibrium molecular dynamic simulations were used to calculate the thermal conductivity of Cu-Ar nanofluid with various initial aggregation structures at different volume fractions. The microscopic mechanism of the effect of nanoparticle agglomerate aggregation mode on the thermal conductivity of nanofluids was analyzed. Results showed that the particle size is the key factor to determine the aggregation structure of nanoparticles. The enhancement efficiency of diffusion-limited aggregation on the thermal conduc-tivity of nanofluids was found to be greater than that of reaction-limited aggregation, and the effect of different aggregation structures on the diffusion coefficient of nanofluidic systems may be one of the potential mecha-nisms affecting the thermal conductivity of nanofluids. (c) 2021 Elsevier B.V. All rights reserved.

引用

页码：584 / 591

页数：8

共 38 条

[1] A population balance equation model to predict regimes of controlled nanoparticle aggregation [J].

Atmuri, Anand K. ;

Henson, Michael A. ;

Bhatia, Surita R. .

COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS, 2013, 436 :325-332

[2] A Molecular Dynamics Simulation of Brownian Motion of a Nanoparticle in a Nanofluid [J].

Azimi, Seyyed Shahabeddin ;

Kalbasi, Mansour .

NANOSCALE AND MICROSCALE THERMOPHYSICAL ENGINEERING, 2017, 21 (04) :263-277

[3]

Bianco V., 2015, HEAT TRANSFER ENHANC

[4] Investigation of enhanced thermal properties of Cu-Ar nanofluids by reverse non equilibrium molecular dynamics method [J].

Chen, Juhui ;

Han, Kun ;

Wang, Shuai ;

Liu, Xiaogang ;

Wang, Peng ;

Chen, Jiyuan .

POWDER TECHNOLOGY, 2019, 356 :559-565

[5]

Choi S., 1995, DEV APPL NONNEWTONIA, V231, P99

[6] Molecular dynamics simulation on the microstructure of absorption layer at the liquid-solid interface in nanofluids [J].

Cui, Wenzheng ;

Shen, Zhaojie ;

Yang, Jianguo ;

Wu, Shaohua .

INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2016, 71 :75-85

[7] EMBEDDED-ATOM METHOD - DERIVATION AND APPLICATION TO IMPURITIES, SURFACES, AND OTHER DEFECTS IN METALS [J].

DAW, MS ;

BASKES, MI .

PHYSICAL REVIEW B, 1984, 29 (12) :6443-6453

[8] Role of Brownian motion hydrodynamics on nanofluid thermal conductivity [J].

Evans, W ;

Fish, J ;

Keblinski, P .

APPLIED PHYSICS LETTERS, 2006, 88 (09)

[9] The effective thermal conductivity of nanofluids based on the nanolayer and the aggregation of nanoparticles [J].

Feng, Yongjin ;

Yu, Boming ;

Xu, Peng ;

Zou, Mingqing .

JOURNAL OF PHYSICS D-APPLIED PHYSICS, 2007, 40 (10) :3164-3171

[10] Effect of aggregation on thermal conductivity and viscosity of nanofluids [J].

Gaganpreet ;

Srivastava, Sunita .

APPLIED NANOSCIENCE, 2012, 2 (03) :325-331

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