Jie Li , Yuanqiang Tan , Shiyan Yan , Sunsheng Zhou , Jiangtao Zhang
{"title":"基于DEM模拟的湿性和粘性散装物料在立式搅拌器中的混合性能","authors":"Jie Li , Yuanqiang Tan , Shiyan Yan , Sunsheng Zhou , Jiangtao Zhang","doi":"10.1016/j.partic.2025.08.004","DOIUrl":null,"url":null,"abstract":"<div><div>Wet and sticky bulk materials exhibit poor flowability during the mixing process, which prevents adequate contact between dry and wet particles. This results in uneven moisture distribution and deterioration in the mixing system. To address these issues, the mixing process of viscous concrete was focused on a vertical blender. A comprehensive investigation into mixing mechanisms and particles flow patterns were conducted using the discrete element method (DEM). The accuracy of the contact parameters in DEM was calibrated through repose angle and validated by torques tested in a custom-built mixing platform. And then, the effects of moisture content, filling level, rotational speed, and inclined angle were systematically investigated with respect to key mixing metrics: the relative standard deviation (<em>RSD</em>), coordination number (<em>CN</em>), segregation index (<em>SI</em>) of wet particles, as well as liquid mass. The results indicated that when the moisture content is 8 %, filling level is 50 %, and rotational speed is more than 60 rpm, the <em>CN</em> and mixing efficiency are acceptable, and the <em>RSD</em> and <em>SI</em> are low, thereby improving the mixing quality. The convective motion was revealed as the dominant flow regime through statistical quantification of diffusion coefficients and Peclet numbers. Finally, Box-Behnken Design was employed to develop quadratic polynomial models for <em>RSD</em>, <em>CN</em>, and <em>SI</em>, which demonstrated strong accuracy in predicting mixing performance and enabled systematic optimization of critical process parameters.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"105 ","pages":"Pages 229-248"},"PeriodicalIF":4.3000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mixing performance for wet and sticky bulk materials in a vertical blender using DEM simulation\",\"authors\":\"Jie Li , Yuanqiang Tan , Shiyan Yan , Sunsheng Zhou , Jiangtao Zhang\",\"doi\":\"10.1016/j.partic.2025.08.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Wet and sticky bulk materials exhibit poor flowability during the mixing process, which prevents adequate contact between dry and wet particles. This results in uneven moisture distribution and deterioration in the mixing system. To address these issues, the mixing process of viscous concrete was focused on a vertical blender. A comprehensive investigation into mixing mechanisms and particles flow patterns were conducted using the discrete element method (DEM). The accuracy of the contact parameters in DEM was calibrated through repose angle and validated by torques tested in a custom-built mixing platform. And then, the effects of moisture content, filling level, rotational speed, and inclined angle were systematically investigated with respect to key mixing metrics: the relative standard deviation (<em>RSD</em>), coordination number (<em>CN</em>), segregation index (<em>SI</em>) of wet particles, as well as liquid mass. The results indicated that when the moisture content is 8 %, filling level is 50 %, and rotational speed is more than 60 rpm, the <em>CN</em> and mixing efficiency are acceptable, and the <em>RSD</em> and <em>SI</em> are low, thereby improving the mixing quality. The convective motion was revealed as the dominant flow regime through statistical quantification of diffusion coefficients and Peclet numbers. Finally, Box-Behnken Design was employed to develop quadratic polynomial models for <em>RSD</em>, <em>CN</em>, and <em>SI</em>, which demonstrated strong accuracy in predicting mixing performance and enabled systematic optimization of critical process parameters.</div></div>\",\"PeriodicalId\":401,\"journal\":{\"name\":\"Particuology\",\"volume\":\"105 \",\"pages\":\"Pages 229-248\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Particuology\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1674200125002147\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particuology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1674200125002147","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Mixing performance for wet and sticky bulk materials in a vertical blender using DEM simulation
Wet and sticky bulk materials exhibit poor flowability during the mixing process, which prevents adequate contact between dry and wet particles. This results in uneven moisture distribution and deterioration in the mixing system. To address these issues, the mixing process of viscous concrete was focused on a vertical blender. A comprehensive investigation into mixing mechanisms and particles flow patterns were conducted using the discrete element method (DEM). The accuracy of the contact parameters in DEM was calibrated through repose angle and validated by torques tested in a custom-built mixing platform. And then, the effects of moisture content, filling level, rotational speed, and inclined angle were systematically investigated with respect to key mixing metrics: the relative standard deviation (RSD), coordination number (CN), segregation index (SI) of wet particles, as well as liquid mass. The results indicated that when the moisture content is 8 %, filling level is 50 %, and rotational speed is more than 60 rpm, the CN and mixing efficiency are acceptable, and the RSD and SI are low, thereby improving the mixing quality. The convective motion was revealed as the dominant flow regime through statistical quantification of diffusion coefficients and Peclet numbers. Finally, Box-Behnken Design was employed to develop quadratic polynomial models for RSD, CN, and SI, which demonstrated strong accuracy in predicting mixing performance and enabled systematic optimization of critical process parameters.
期刊介绍:
The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles.
Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors.
Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology.
Key topics concerning the creation and processing of particulates include:
-Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales
-Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes
-Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc.
-Experimental and computational methods for visualization and analysis of particulate system.
These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.