Effect of particle shapes on diffusion and mixing in a cylindrical mixer with rotating paddles

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Particle Mechanics Pub Date : 2024-02-04 DOI:10.1007/s40571-024-00713-2
Xiang Fang, Hao Wu, Nan Gui, Xiujin Li, Jiyuan Tu
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Abstract

Numerical simulations were performed to study the particle shape effect on the particle-scale diffusion and mixing behavior in the mixer driven by the rotating paddles. Four shapes of particles, the sphere, the prolate spheroid, the oblate spheroid, and the cube, are simulated. Velocities, flow blockages, and diffusion of particles are analyzed. The mixing index is applied to quantitatively evaluate the mixing. Numerical results show that the circumferential velocity in the above-paddle region is much greater than in the paddle region. Compared to other shapes, the cubic particles have less movement in low velocity and more in high velocity. The cubic shape, rather than the ellipsoidal shape of different aspect ratios, plays a non-negligible role in flow blockage. For particle diffusion, the mean square displacement (MSD) varies linearly with time for the sphere, the prolate, and the oblate spheroids. The average diffusion coefficient is about 6.5 × 10-5 m2/s. In contrast, the MSD of the cubes is greater than the other shapes, and a sub-diffusion phenomenon is observed. The mixing index increases with time and reaches approximately a steady value of 0.9 after 3.0 s. Because of the different particle–wall interactions, the mixing indices of the cube, the prolate, and the oblate spheroids in the mixer are less than those of the sphere. Finally, radial mixing and axial mixing are evaluated by the eight kinds of mixing functions. These mixing functions and their time-averaged values show that the cubic particle has significantly different features of mixing. Its radial mixing is stronger than other kinds of shapes. Also, the cube’ axial mixing upward is weaker whereas the mixing downward is the strongest.

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颗粒形状对带有旋转桨叶的圆柱形混合器中的扩散和混合的影响
我们进行了数值模拟,以研究颗粒形状对由旋转桨叶驱动的混合器中颗粒尺度扩散和混合行为的影响。模拟了四种形状的颗粒,即球形、扁球形、扁球形和立方体。对颗粒的速度、流动阻塞和扩散进行了分析。混合指数用于定量评估混合情况。数值结果表明,桨叶上方区域的圆周速度远大于桨叶区域。与其他形状相比,立方体颗粒在低速时运动较少,而在高速时运动较多。立方体形状,而不是不同长径比的椭圆体形状,在流动阻塞中起着不可忽视的作用。在颗粒扩散方面,球形、长方体和扁球形颗粒的均方位移(MSD)随时间呈线性变化。平均扩散系数约为 6.5 × 10-5 m2/s。相比之下,立方体的 MSD 要大于其他形状,并出现了亚扩散现象。由于颗粒与壁的相互作用不同,立方体、长方体和扁球体在混合器中的混合指数小于球体。最后,通过八种混合函数对径向混合和轴向混合进行评估。这些混合函数及其时间平均值表明,立方体粒子具有明显不同的混合特征。它的径向混合比其他形状更强。此外,立方体向上的轴向混合较弱,而向下的混合最强。
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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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