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Modified collective rearrangement sphere-assembly algorithm for random packings of nonspherical particles: Towards engineering applications

机译:非球形粒子无规则堆积的改进的集体重排球体组装算法:面向工程应用

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摘要

A modified collective rearrangement algorithm, based on the sphere-assembly representation of the particle shape, is presented for simulating random packings of nonspherical particles and arbitrary shapes. Compared to other collective rearrangement methods, the modification introduced by this algorithm consists in i) avoiding the particle-to-container shrinking procedure by allowing particles to sequentially settle down and ii) in a stability constraint applied to all the particles in the packing. The coupling of these criteria ensures that all the particles are stable and contacting each other, allowing for an unambiguous detection of contacts, which is important in the evaluation of the effective properties desired in many engineering applications, such as percolation thresholds and effective conductivity. The effect of the internal parameters of the algorithm is investigated, showing that random close packings can be obtained. The algorithm is applied to simulate packings of rigid ellipsoids and cylinders with different aspect ratios, which are compared with simulation results provided by other packing algorithms, showing the consistency of our method. Simulations of inter-penetrating particles, mixtures of particles with different shapes and packings of agglomerates are shown, which confirm the applicability of the method to a broad range of packing problems of practical interest and, in particular, for fuel cell applications. KPacking algorithm;; Random packing;; Simulation;; Nonspherical particles;; Fuel cells;; Agglomerates
机译:提出了一种基于粒子形状的球体组装表示的改进的集体重排算法,用于模拟非球形粒子和任意形状的随机堆积。与其他集体重排方法相比,此算法引入的修改包括:i)通过允许粒子顺序沉降而避免了粒子到容器的收缩过程,以及ii)在应用于填充物中所有粒子的稳定性约束中。这些标准的结合可确保所有粒子稳定且彼此接触,从而可以明确检测触点,这对于评估许多工程应用所需的有效特性(例如渗透阈值和有效电导率)非常重要。研究了算法内部参数的影响,表明可以获得随机的紧密堆积。该算法被用于模拟不同纵横比的刚性椭圆体和圆柱体的填充,并与其他填充算法提供的仿真结果进行了比较,证明了我们方法的一致性。示出了互穿颗粒,具有不同形状的颗粒的混合物以及附聚物的堆积的模拟,这证实了该方法可用于广泛的实际关注的堆积问题,尤其是对于燃料电池应用。 K 打包算法;;随机包装;模拟;;非球形颗粒;燃料电池;;团聚体

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