{"title":"Effect of particle shapes on diffusion and mixing in a cylindrical mixer with rotating paddles","authors":"Xiang Fang, Hao Wu, Nan Gui, Xiujin Li, Jiyuan Tu","doi":"10.1007/s40571-024-00713-2","DOIUrl":null,"url":null,"abstract":"<div><p>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<sup>-5</sup> m<sup>2</sup>/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.</p></div>","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":"11 4","pages":"1825 - 1836"},"PeriodicalIF":2.8000,"publicationDate":"2024-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Particle Mechanics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s40571-024-00713-2","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
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.
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.