{"title":"流化床造粒机的CFD-DEM建模:颗粒的形成、识别和颗粒尺寸分布的演变","authors":"Akanksha Rajput , Jayanta Chakraborty , Jitendra Kumar , Anurag Tripathi","doi":"10.1016/j.powtec.2025.121726","DOIUrl":null,"url":null,"abstract":"<div><div>The present study adopts a CFD-DEM coupled approach for modeling the wet granulation in a sparse pseudo-2D fluidized bed of dry and wet spherical particles. The granules formed through particle interactions are quantified using a novel granule identification algorithm, by accounting for the particle curing period and the surface liquid content. The identified granules are replaced by a multi-sphere model to incorporate the effect of granule strengthening due to drying of the liquid bridge. The temporal evolution of granule size distribution is analyzed, and the effects of key process parameters, including superficial gas velocity, liquid binder properties (such as liquid content, viscosity, and surface tension), and curing period, are investigated. Among various factors explored, the liquid binder surface tension and superficial gas velocity are found to be the strongest factors. Viscosity does not seem to play a significant role, possibly due to the use of coarse-grained particles.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"469 ","pages":"Article 121726"},"PeriodicalIF":4.6000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CFD-DEM modeling of fluidized bed granulator: Granule formation, identification, and evolution of granule size distribution\",\"authors\":\"Akanksha Rajput , Jayanta Chakraborty , Jitendra Kumar , Anurag Tripathi\",\"doi\":\"10.1016/j.powtec.2025.121726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The present study adopts a CFD-DEM coupled approach for modeling the wet granulation in a sparse pseudo-2D fluidized bed of dry and wet spherical particles. The granules formed through particle interactions are quantified using a novel granule identification algorithm, by accounting for the particle curing period and the surface liquid content. The identified granules are replaced by a multi-sphere model to incorporate the effect of granule strengthening due to drying of the liquid bridge. The temporal evolution of granule size distribution is analyzed, and the effects of key process parameters, including superficial gas velocity, liquid binder properties (such as liquid content, viscosity, and surface tension), and curing period, are investigated. Among various factors explored, the liquid binder surface tension and superficial gas velocity are found to be the strongest factors. Viscosity does not seem to play a significant role, possibly due to the use of coarse-grained particles.</div></div>\",\"PeriodicalId\":407,\"journal\":{\"name\":\"Powder Technology\",\"volume\":\"469 \",\"pages\":\"Article 121726\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Powder Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0032591025011210\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Powder Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0032591025011210","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
CFD-DEM modeling of fluidized bed granulator: Granule formation, identification, and evolution of granule size distribution
The present study adopts a CFD-DEM coupled approach for modeling the wet granulation in a sparse pseudo-2D fluidized bed of dry and wet spherical particles. The granules formed through particle interactions are quantified using a novel granule identification algorithm, by accounting for the particle curing period and the surface liquid content. The identified granules are replaced by a multi-sphere model to incorporate the effect of granule strengthening due to drying of the liquid bridge. The temporal evolution of granule size distribution is analyzed, and the effects of key process parameters, including superficial gas velocity, liquid binder properties (such as liquid content, viscosity, and surface tension), and curing period, are investigated. Among various factors explored, the liquid binder surface tension and superficial gas velocity are found to be the strongest factors. Viscosity does not seem to play a significant role, possibly due to the use of coarse-grained particles.
期刊介绍:
Powder Technology is an International Journal on the Science and Technology of Wet and Dry Particulate Systems. Powder Technology publishes papers on all aspects of the formation of particles and their characterisation and on the study of systems containing particulate solids. No limitation is imposed on the size of the particles, which may range from nanometre scale, as in pigments or aerosols, to that of mined or quarried materials. The following list of topics is not intended to be comprehensive, but rather to indicate typical subjects which fall within the scope of the journal's interests:
Formation and synthesis of particles by precipitation and other methods.
Modification of particles by agglomeration, coating, comminution and attrition.
Characterisation of the size, shape, surface area, pore structure and strength of particles and agglomerates (including the origins and effects of inter particle forces).
Packing, failure, flow and permeability of assemblies of particles.
Particle-particle interactions and suspension rheology.
Handling and processing operations such as slurry flow, fluidization, pneumatic conveying.
Interactions between particles and their environment, including delivery of particulate products to the body.
Applications of particle technology in production of pharmaceuticals, chemicals, foods, pigments, structural, and functional materials and in environmental and energy related matters.
For materials-oriented contributions we are looking for articles revealing the effect of particle/powder characteristics (size, morphology and composition, in that order) on material performance or functionality and, ideally, comparison to any industrial standard.