{"title":"Granular flow in screw conveyors: A review of experiments and discrete element method (DEM) studies","authors":"Milada Pezo , Lato Pezo , Biljana Lončar , Predrag Kojić , Milica Ilić , Aca Jovanović","doi":"10.1016/j.powtec.2025.121040","DOIUrl":null,"url":null,"abstract":"<div><div>Screw conveyors are essential in industries such as mineral processing, agriculture, chemicals, plastics, cement, and food processing, facilitating granular material transport and mixing. Despite their mechanical simplicity, the complex physics of granular flow poses challenges, including bridging, blockages, and inefficient mixing. This review examines transport mechanisms and mixing in screw conveyors through experimental studies and Discrete Element Method (DEM) simulations. DEM enables detailed analysis of particle interactions, capturing transport dynamics based on Newton's laws of motion. Key operational parameters—rotational speed, inclination angle, and fill level—significantly impact transport efficiency and mixing behaviour. Recent advancements in DEM, including integration with Computational Fluid Dynamics and Finite Element Analysis, have improved predictive accuracy and system optimization. These combined approaches enhance the modelling of fluid-solid interactions and mechanical stresses. Future research aims to refine particle models by integrating complex behaviours, including cohesion, breakage, and shape variations. The efficiency of simulations is expected to be further enhanced through high-performance computing and emerging technologies such as quantum computing, thereby reducing computational costs. Implementing of real-time data analytics and predictive maintenance is anticipated to facilitate adaptive system control, ensuring stable and efficient operation. Cross-disciplinary collaboration is crucial for refining validation techniques and improving software accessibility, aligning DEM simulations with experimental and industrial applications. An integrated approach to studying granular flow in screw conveyors bridges theoretical and practical insights, enhancing efficiency, reliability, and the broader applicability of DEM in optimizing screw conveyor performance across industries.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"459 ","pages":"Article 121040"},"PeriodicalIF":4.5000,"publicationDate":"2025-04-16","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/S0032591025004358","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}
引用次数: 0
Abstract
Screw conveyors are essential in industries such as mineral processing, agriculture, chemicals, plastics, cement, and food processing, facilitating granular material transport and mixing. Despite their mechanical simplicity, the complex physics of granular flow poses challenges, including bridging, blockages, and inefficient mixing. This review examines transport mechanisms and mixing in screw conveyors through experimental studies and Discrete Element Method (DEM) simulations. DEM enables detailed analysis of particle interactions, capturing transport dynamics based on Newton's laws of motion. Key operational parameters—rotational speed, inclination angle, and fill level—significantly impact transport efficiency and mixing behaviour. Recent advancements in DEM, including integration with Computational Fluid Dynamics and Finite Element Analysis, have improved predictive accuracy and system optimization. These combined approaches enhance the modelling of fluid-solid interactions and mechanical stresses. Future research aims to refine particle models by integrating complex behaviours, including cohesion, breakage, and shape variations. The efficiency of simulations is expected to be further enhanced through high-performance computing and emerging technologies such as quantum computing, thereby reducing computational costs. Implementing of real-time data analytics and predictive maintenance is anticipated to facilitate adaptive system control, ensuring stable and efficient operation. Cross-disciplinary collaboration is crucial for refining validation techniques and improving software accessibility, aligning DEM simulations with experimental and industrial applications. An integrated approach to studying granular flow in screw conveyors bridges theoretical and practical insights, enhancing efficiency, reliability, and the broader applicability of DEM in optimizing screw conveyor performance across industries.
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.