Using tracer particle kinematics to predict particle size in rotating drums

Using tracer particle kinematics to predict particle size in rotating drums | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Using tracer particle kinematics to predict particle size in rotating drums Sudip Laudari, Benjy Marks, Pierre Rognon This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3909482/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 06 Dec, 2024 Read the published version in Granular Matter → Version 1 posted You are reading this latest preprint version Abstract Comminution is an energy intensive process. In ball mills, it is achieved by rotating a drum in which large metal balls crush ore particles. In-situ monitoring of particle size would be of considerable interest to optimize their operation. However, there is no established solution to measure particle size in such a harsh mechanical environment. We show here that the acceleration of the grinding media, which can be monitored using embedded accelerometers, can be used to sense the particle size during operation. In DEM simulations, we find that a machine learning classifier is able to detect the size of small "ore" particles solely based on the knowledge of the acceleration of larger grinding media particles. Results show that this kinematic sensing is effective over a wide range of particle size ratios, mixture ratio and mill charge. Beyond their practical interest in mineral processing, these results point out that the kinematics of large particles is affected by the size of the smaller particles, an observation which can help advance rheological models for bi-disperse granular flows. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 06 Dec, 2024 Read the published version in Granular Matter → Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-3909482","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":270398543,"identity":"7ff3f507-5513-459d-b82e-f2916c8ec139","order_by":0,"name":"Sudip Laudari","email":"","orcid":"","institution":"The University of Sydney","correspondingAuthor":false,"prefix":"","firstName":"Sudip","middleName":"","lastName":"Laudari","suffix":""},{"id":270398544,"identity":"132a78ea-30d5-41b9-9e4a-4c6f9cf443ec","order_by":1,"name":"Benjy Marks","email":"","orcid":"","institution":"The University of Sydney","correspondingAuthor":false,"prefix":"","firstName":"Benjy","middleName":"","lastName":"Marks","suffix":""},{"id":270398545,"identity":"c918a64f-6ccf-4507-a3cc-e032fdace6d8","order_by":2,"name":"Pierre Rognon","email":"data:image/png;base64,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","orcid":"","institution":"The University of Sydney","correspondingAuthor":true,"prefix":"","firstName":"Pierre","middleName":"","lastName":"Rognon","suffix":""}],"badges":[],"createdAt":"2024-01-30 00:14:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3909482/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3909482/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s10035-024-01493-5","type":"published","date":"2024-12-06T15:57:24+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":70965182,"identity":"7fd972b8-3681-48fa-a775-3a5802ecca83","added_by":"auto","created_at":"2024-12-09 16:17:56","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1098710,"visible":true,"origin":"","legend":"","description":"","filename":"submission1GM.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3909482/v1_covered_6bcb7f3f-53d8-41ad-8b66-a6455098810d.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Using tracer particle kinematics to predict particle size in rotating drums","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-3909482/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3909482/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eComminution is an energy intensive process. 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