Mao Li, Jiaqi Wang, Benjun Cheng, Hesong Li, Wenyuan Hou
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引用次数: 0
摘要
摘要 氧化铝团块的存在严重影响铝电解过程的电流效率。团聚体的微观结构难以获得，而微观结构对于探索团聚体的热物理性质及其溶解至关重要。有人提出了一种探索多孔介质微观结构和热物理性质的方法。引入四元结构生成集（QSGS）来模拟二维和三维多孔介质的微观结构。通过 MATLAB 自定义代码和积分法获得了所建模型的粒子相面积。根据分形理论和定制程序得出了氧化铝团聚体的热物理性质。根据团聚体的热物理参数得出了平均溶解速率并进行了验证。结果表明，对氧化铝团聚体物理性质的描述偏差小于 10%，其微观结构与 SEM 图像十分吻合。团聚体的孔隙率为 0.58-0.61，密度约为 2270-2280 kg m-3。氧化铝团聚体的有效热导率为 3.85-3.92 W m-1 K-1，平均溶解速率约为 6.83 × 10-5 kg s-1。
Structural reconstruction and thermophysical properties of alumina agglomerate based on QSGS calculation
Abstract
The presence of alumina agglomerates seriously affects the current efficiency of the aluminum electrolysis process. The microstructure of agglomerate is difficult to obtain while it is crucial for exploring the thermophysical properties and its dissolution. A method has been proposed to explore the microstructure and thermophysical properties of the porous media. Quartet structure generation set (QSGS) was introduced to model the microstructure of two-dimensional and three-dimensional porous media. The particle phase area of the constructed model was obtained through MATLAB custom code and integration method. The thermophysical properties of alumina agglomerates were derived based on fractal theory and custom programs. The average dissolution rate was obtained and validated according to the thermophysical parameters of agglomerates. The results show that the deviation in describing the physical properties of alumina agglomerates is less than 10%, and the microstructure agrees well with SEM images. The porosity of the agglomerates is 0.58–0.61 and the density is about 2270–2280 kg m−3. The effective thermal conductivity of alumina agglomerate is 3.85–3.92 W m−1 K−1 and the average dissolution rate is about 6.83 × 10−5 kg s−1.
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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