Evaluation of effective thermal conductivity of sintered porous materials using an improved discrete element model

被引:5
作者
Nisar, F. [1 ]
Rojek, J. [1 ]
Nosewicz, S. [1 ]
Kaszyca, K. [2 ]
Chmielewski, M. [2 ]
机构
[1] Polish Acad Sci, Inst Fundamental Technol Res, Pawinskiego 5B, PL-02106 Warsaw, Poland
[2] Inst Microelect & Photon, Lukasiewicz Res Network, Wolczynska 133, PL-01919 Warsaw, Poland
关键词
Discrete element method; Effective thermal conductivity; Porous materials; Sintering; Heat conduction simulation; SIMULATION; BOUNDS; MICROSTRUCTURES; TORTUOSITY; TRANSPORT;
D O I
10.1016/j.powtec.2024.119546
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
This work aims to revise and apply an original discrete element model (DEM) to evaluate effective thermal conductivity of sintered porous materials. The model, based on two -particle sintering geometry, calculates inter -particle neck using Constant Volume (CV) criterion. The model was validated using experimental measurements on sintered porous NiAl. For DEM simulations, heterogeneous samples with real particle size distribution and different densities were obtained by simulation of hot pressing. Neck size evaluated using Coble's and CV models were compared to show that commonly used Coble's model overestimates neck size and conductivity. The proposed model was improved by neck -size correction to compensate for nonphysical overlaps at higher densities and by adding grain -boundary resistance to account for porosity within necks. Resistance contribution from grain boundaries was shown to decrease with increasing density. Thermal conductivity obtained from the improved model was close to experimental results, suggesting validity of the model.
引用
收藏
页数:15
相关论文
共 50 条
[21]   An Improved Efficient Network Model for Determining the Effective Thermal Conductivity of Particulate Thermal Interface Materials [J].
Dan, B. ;
Sammakia, B. G. ;
Subbarayan, G. ;
Kanuparthi, S. .
JOURNAL OF ELECTRONIC PACKAGING, 2013, 135 (03)
[22]   A New Structural Model for Predicting Effective Thermal Conductivity of Variably Saturated Porous Materials [J].
Cha, Jang-Hwan ;
Koo, Min-Ho ;
Keehm, Young-Seuk .
JOURNAL OF THE KOREAN EARTH SCIENCE SOCIETY, 2011, 32 (06) :629-639
[23]   An interpretable deep learning strategy for effective thermal conductivity prediction of porous materials [J].
Huang, Qingfu ;
Hong, Donghui ;
Niu, Bo ;
Long, Donghui ;
Zhang, Yayun .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2024, 221
[24]   Discrete element method for effective thermal conductivity of packed pebbles accounting for the Smoluchowski effect [J].
Moscardini, M. ;
Gan, Y. ;
Pupeschi, S. ;
Kamlah, M. .
FUSION ENGINEERING AND DESIGN, 2018, 127 :192-201
[25]   A novel method to determine effective thermal conductivity of porous materials [J].
QIAN Jiyu LI Qiang YU Kai XUAN Yimin School of Power Engineering Nanjing University of Science and Technology Nanjing China .
Science in China(Series E:Technological Sciences), 2004, (06) :716-724
[26]   A novel method to determine effective thermal conductivity of porous materials [J].
Jiyu Qian ;
Qiang Li ;
Kai Yu ;
Yimin Xuan .
Science in China Series E: Technological Sciences, 2004, 47 :716-724
[27]   A novel method to determine effective thermal conductivity of porous materials [J].
Qian, JY ;
Li, Q ;
Yu, K ;
Xuan, YM .
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2004, 47 (06) :716-724
[28]   A novel fractal model for effective thermal conductivity in granular porous media [J].
Qin, Xuan ;
Yin, Wanjun .
GEOTHERMICS, 2023, 108
[29]   A three-cell effective thermal conductivity model of two-phase porous media [J].
Zhu, Jianting .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2023, 209
[30]   Thermal conductivity of sintered porous silicon films [J].
Wolf, A. ;
Brendel, R. .
THIN SOLID FILMS, 2006, 513 (1-2) :385-390