A computational framework for agglomeration in thermochemically reacting granular flows

Abstract

Restricted accessMoreSectionsView PDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinked InRedditEmail Cite this article Zohdi T. I. 2004A computational framework for agglomeration in thermochemically reacting granular flowsProc. R. Soc. Lond. A.4603421–3445http://doi.org/10.1098/rspa.2004.1277SectionRestricted accessA computational framework for agglomeration in thermochemically reacting granular flows T. I. Zohdi T. I. Zohdi Department of Mechanical Engineering, 6195 Etcheverry Hall, University of California, Berkeley, CA 94720-1740, USA () Google Scholar Find this author on PubMed Search for more papers by this author T. I. Zohdi T. I. Zohdi Department of Mechanical Engineering, 6195 Etcheverry Hall, University of California, Berkeley, CA 94720-1740, USA () Google Scholar Find this author on PubMed Search for more papers by this author Published:08 December 2004https://doi.org/10.1098/rspa.2004.1277AbstractA computational framework is developed which couples a series of models, each describing vastly different physical events, in order to characterize particle growth (agglomeration) in thermochemically reacting granular flows. The modelling is purposely simplified to expose the dominant mechanisms which control agglomeration. The overall system is comprised of relatively simple coupled submodels describing impact, heat production, bonding and fragmentation, each of which can be replaced by more elaborate descriptions, if and when they are available. Inverse problems, solved with a genetic algorithm, are then constructed to ascertain system parameters which maximize agglomeration likelihood within a range of admissible data. Previous ArticleNext Article VIEW FULL TEXT DOWNLOAD PDF FiguresRelatedReferencesDetailsCited by Zohdi T (2022) A machine-learning framework for the simulation of nuclear deflection of Planet-Killer-Asteroids, Computer Methods in Applied Mechanics and Engineering, 10.1016/j.cma.2022.115316, 402, (115316), Online publication date: 1-Dec-2022. Huang Z, Deng W, Yuan Y, Liu L, Wang Y and Li S (2022) Determining the equivalent packing diameter of two-dimensional shapes, Powder Technology, 10.1016/j.powtec.2021.11.022, 396, (565-577), Online publication date: 1-Jan-2022. 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Zohdi T (2005) A simple model for shear stress mediated lumen reduction in blood vessels, Biomechanics and Modeling in Mechanobiology, 10.1007/s10237-004-0059-2, 4:1, (57-61), Online publication date: 1-Aug-2005. This Issue08 December 2004Volume 460Issue 2052 Article InformationDOI:https://doi.org/10.1098/rspa.2004.1277Published by:Royal SocietyPrint ISSN:1364-5021Online ISSN:1471-2946History: Published online08/12/2004Published in print08/12/2004 License: Citations and impact Keywordsagglomerationgranular flowsthermochemical coupling