Discrete element model for effective electrical conductivity of spark plasma sintered porous materials

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
F. Nisar, J. Rojek, S. Nosewicz, J. Szczepański, K. Kaszyca, M. Chmielewski
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Abstract

This paper aims to analyse electrical conduction in partially sintered porous materials using an original resistor network model within discrete element framework. The model is based on sintering geometry, where two particles are connected via neck. Particle-to-particle conductance depends on neck size in sintered materials. Therefore, accurate evaluation of neck size is essential to determine conductance. The neck size was determined using volume preservation criterion. Additionally, grain boundary correction factor was introduced to compensate for any non-physical overlaps between particles, particularly at higher densification. Furthermore, grain boundary resistance was added to account for the porosity within necks. For numerical analysis, the DEM sample was generated using real particle size distribution, ensuring a heterogeneous and realistic microstructure characterized by a maximum-to-minimum particle diameter ratio of 15. The DEM sample was subjected to hot press simulation to obtain geometries with different porosity levels. These representative geometries were used to simulate current flow and determine effective electrical conductivity as a function of porosity. The discrete element model (DEM) was validated using experimentally measured electrical conductivities of porous NiAl samples manufactured using spark plasma sintering (SPS). The numerical results were in close agreement with the experimental results, hence proving the accuracy of the model. The model can be used for microscopic analysis and can also be coupled with sintering models to evaluate effective properties during the sintering process.

Abstract Image

火花等离子烧结多孔材料有效电导率的离散元模型
本文旨在利用离散元件框架内的一个独创电阻网络模型,分析部分烧结多孔材料中的电导。该模型基于烧结几何形状,其中两个颗粒通过颈部连接。颗粒与颗粒之间的传导取决于烧结材料中的颈部尺寸。因此,准确评估颈部尺寸对确定电导至关重要。颈部尺寸是通过体积保持标准确定的。此外,还引入了晶界校正因子,以补偿颗粒之间的任何非物理重叠,尤其是在高密度情况下。此外,还加入了晶界阻力,以考虑颈部的孔隙率。为了进行数值分析,DEM 样品是使用真实的粒度分布生成的,确保了异质和真实的微观结构,最大与最小颗粒直径比为 15。对 DEM 样品进行热压模拟,以获得不同孔隙率水平的几何形状。这些具有代表性的几何形状用于模拟电流流动,并确定有效电导率与孔隙率的函数关系。使用火花等离子烧结 (SPS) 制造的多孔镍铝样品的实验测量电导率验证了离散元素模型 (DEM)。数值结果与实验结果非常吻合,从而证明了模型的准确性。该模型可用于微观分析,也可与烧结模型结合使用,以评估烧结过程中的有效特性。
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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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