Calibration of particle interactions for discrete element modeling of powder flow

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Mike Fazzino, Ummay Habiba, Lukasz Kuna, Serge Nakhmanson, Rainer J. Hebert
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引用次数: 0

Abstract

An ASTM B213 standard Hall Flowmeter Funnel experiment was conducted for Ti 6–4 powder particles and simulated utilizing a discrete element method approach implemented in the LIGGGHTS package. Particle interactions were described with a modified simplified Johnson–Kendall–Roberts theory that includes adhesion as a function of the particle surface free energy. Experimental data for the powder particle size distribution were used as input for the simulations. Adjustable parameters, such as cohesion energy density, coefficient of restitution and dynamic friction, were tuned to match the general shape of the experimentally obtained particle pile. Geometrical properties of the simulated powder pile, including its diameter, height and inside/outside slope angles, were computed and compared with the experimental results where available. Local particle size distributions for different areas within the pile (top vs. bottom) were obtained, indicating the dominance of larger particles at the top of the pile, akin to the Brazil nut effect.

Abstract Image

校准粉末流动离散元素模型中的颗粒相互作用
对钛 6-4 粉末颗粒进行了 ASTM B213 标准霍尔流量计漏斗实验,并利用 LIGGGHTS 软件包中的离散元素法进行了模拟。颗粒间的相互作用是用修正的简化约翰逊-肯德尔-罗伯茨理论来描述的,其中包括作为颗粒表面自由能函数的附着力。粉末粒度分布的实验数据被用作模拟的输入。对内聚能密度、恢复系数和动态摩擦力等可调参数进行了调整,以符合实验所得颗粒堆积的一般形状。计算了模拟粉末堆的几何特性,包括其直径、高度和内/外倾斜角,并将其与实验结果(如有)进行了比较。获得了粉末堆内不同区域(顶部与底部)的局部粒度分布,表明较大的颗粒主要位于粉末堆顶部,类似于巴西坚果效应。
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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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