Article
Thermodynamics
Omar Taleb, Daniel C. Barzycki, Carlos Germosen Polanco, Ralm G. Ricarte, Daniel Hallinan
Summary: A numerical finite-difference model for 2D transient diffusion in lamellar structures was developed in this study, which can be applied to various transport phenomena. The model was validated by comparing it to analytical expressions. The results showed that the standard deviation of effective transport parameters decreased with decreasing grain size, and the connectivity of the more conducting phase was important only in coarse grains with significant contrast.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Energy & Fuels
Narges Nazari, Ahmad Allahbakhsh, Ahmad Reza Bahramian
Summary: An analytical thermal conductivity model for porous composites with colloidal matrix morphologies was developed, which considers the simultaneous presence of fillers and pores in the structure. The model was validated using novolac/graphene oxide nanocomposite aerogels and showed acceptable accuracy in predicting the effective thermal conductivity. The model can be used to study and manage the structure/heat transfer relations in porous composite materials.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Nanoscience & Nanotechnology
Joshua M. Kubiak, Buxuan Li, Mathew Suazo, Robert J. Macfarlane
Summary: The distribution of filler particles within a polymer matrix nanocomposite significantly affects its properties and processability. This study presents a strategy for preparing functional composites with enhanced thermal conductivity. The thermal cross-linking of self-suspended polymer grafted nanoparticles is used to achieve homogeneously dispersed, non-percolating alumina particles in an organic matrix.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Materials Science, Multidisciplinary
Nancy Dib, Gerard-Philippe Zehil
Summary: This study introduces two novel predictive models for the effective thermal conductivity of two-phase isotropic particulate composites, including a simple analytical model and a generalized semi-analytical model considering both particle contiguity and thermal resistance. These models can match experimental data well and it is found that well-graded particle size distributions favor the formation of filler conduction chains.
MATERIALS TODAY COMMUNICATIONS
(2021)
Article
Thermodynamics
Chuan-Yong Zhu, Wen-Xin Yang, Hai-Bo Xu, Bin Ding, Liang Gong, Zeng-Yao Li
Summary: This paper investigates effective thermal conductivity models for particle reinforced composites, proposing a general and easy-to-use model by extending existing ones and validating it.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Energy & Fuels
Jianghui Cheng, Guoyuan Chen, Sensen Li, Feng Hou
Summary: The article reports a novel method for preparing phase change composites with high thermal conductivity and inhibited leakage by constructing a network of graphite nanoplatelets and Cu nanoparticles. The method demonstrates a significant increase in thermal conductivity, showing potential for improving thermal management performance in high-energy consumption devices.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Multidisciplinary
S. Kanaun, V Levin
Summary: The study examines a homogeneous conductive medium with random sets of identical spherical inclusions, and utilizes the self-consistent effective medium method to solve the homogenization problem. For time-varying fields, the effective conductivity parameters are non-local operators. A numerical algorithm is proposed for solving the system of nonlinear equations, providing effective thermal conductivity parameters.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2021)
Article
Thermodynamics
Eduardo Nobre Lages, Severino Pereira Cavalcanti Marques
Summary: This study extends a method originally developed for two-phase composites to predict effective thermal conductivity for periodic composites with arbitrary number of phases and geometric shapes of inhomogeneities. The model shows good performance in evaluating effective thermal conductivity regardless of the volume fraction of inhomogeneities, providing an interesting alternative to existing approaches.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2022)
Article
Mechanics
Tao Meng, Chaoqun Peng, Richu Wang, Yan Feng, Xiaofeng Wang, Zhiyong Cai
Summary: A new prediction model was developed to calculate the effective thermal conductivity of ellipsoidal inclusion-reinforced composites by introducing new shape coefficients and interaction coefficients based on Maxwell-Eucken's model. The model was verified using experimental data and finite element simulation, and the results demonstrated high accuracy (<10%) of the prediction model. The analysis of the model revealed an increase in the effective thermal conductivity of composites with an increase in the aspect ratio of ellipsoidal particles when randomly distributed in the matrix. However, when the ellipsoidal particles were non-randomly distributed, the effective thermal conductivity depended on the angle between the heat flux direction and the long axis of the ellipsoid.
COMPOSITE STRUCTURES
(2023)
Article
Thermodynamics
Qitong Shi, Cong Feng, Bing Li, Pingwen Ming, Cunman Zhang
Summary: Heat transfer in fuel cells is limited by the effective thermal conductivity of the microporous layer (MPL). However, there is a lack of studies on the key parameters affecting the MPL's thermal conductivity due to the complexity of its microstructure and testing conditions. In this paper, a fractal model for the MPL's thermal conductivity is developed based on a lumped parametric model and a fractal particle chain model, and the contact ratio of agglomerates is determined using 3D FIB-SEM reconstruction. The results show that structural parameters, fractal dimension, and the conductivity of carbon particles and pores are the main factors affecting the MPL's thermal conductivity. The fractal characteristics of the MPL inhibit heat transfer, while the pores act as thermal barriers. This research can contribute to the development of novel MPL structures with high thermal conductivity and improve fuel cell temperature simulation results.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Materials Science, Multidisciplinary
Chao Liu, Wei Wu, Yi Wang, Xingrong Liu, Qiming Chen, Shenxin Xia
Summary: The study fabricated a high thermally conductive polymer composite by assembling three-dimensional structures composed of boron nitride and reduced graphene oxide with silver nanoparticle enhancement. Analysis showed that the composite exhibits excellent thermal conductivity and resistance properties at low filler loading.
ACS APPLIED POLYMER MATERIALS
(2021)
Article
Materials Science, Composites
Hakim Abbasov
Summary: In this paper, a new effective thermal conductivity model for polymers filled with highly conductive particles is proposed. The model accurately predicts the thermal conductivity of polymer composites and determines the aggregation abilities of filler particles in some polymer composites.
POLYMER COMPOSITES
(2022)
Article
Materials Science, Ceramics
Zheng-Bai Zhao, Cheng Hu, Yang Wang, Hong-Min Cong, Yong Ma, Ding-Duo Lin, Wei-Li Li, Chao Yan
Summary: An environmentally friendly thermal interface material (TIM) was fabricated by using waterborne epoxy as a polymer matrix in this research project. The waterborne epoxy resin/polyvinyl pyrmlidone/hexagonal boron nitride (WER/PVP/h-BN) composite was successfully prepared through a simple method. The obtained WER/PVP/h-BN composite showed a high thermal conductivity of 1.0921 W/m.K at 40 wt% filler loading. The study also investigated the mechanical, electrical, and surface properties of the composite, providing valuable information for the design and preparation of environmentally friendly TIMs.
CERAMICS INTERNATIONAL
(2022)
Article
Mathematics, Interdisciplinary Applications
Tongjun Miao, Aimin Chen, Lijuan Jiang, Huajie Zhang, Junfeng Liu, Boming Yu
Summary: In this study, an analytical model for the dimensionless effective thermal conductivity of porous media embedded with fracture networks of power law length distributions is proposed. The results show that the dimensionless effective thermal conductivity is influenced by the micro-structural parameters of the media and varies with different ratios and power law exponents.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Chemistry, Multidisciplinary
Jinyi Zhang, Jing Zuo, Shaonan Xu, Ankun Ju, Wenhua Yuan, Jiupeng Zhang, Cundi Wei
Summary: Conductive powders with low volume resistivity and high thermal conductivity were prepared through acid leaching and coating. The resulting composite material showed improved antistatic properties and mechanical strength, making it suitable for industrial production. The unique material structure contributed to the excellent performance.
JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS
(2022)
