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Record Nr. |
UNINA9910407738103321 |
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Autore |
Korn Christian |
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Titolo |
Application of coupled CFD-DEM simulation to separation process in combine harvester cleaning devices / / by Christian Korn |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer Vieweg, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (211 pages) |
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Collana |
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Fortschritte Naturstofftechnik, , 2524-3365 |
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Disciplina |
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Soggetti |
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Automotive engineering |
Computer-aided engineering |
Fluid mechanics |
Mathematical physics |
Automotive Engineering |
Computer-Aided Engineering (CAD, CAE) and Design |
Engineering Fluid Dynamics |
Theoretical, Mathematical and Computational Physics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- State of the art -- Approach and Method -- Process Abstraction, Parametrization and Sensitivity -- Numerical and Experimental Tests of Separation in a Combine Cleaning Device -- Summary, Conclusions and Outlook -- References. |
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Sommario/riassunto |
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This book discusses the application of the coupled CFD-DEM approach for simulating the separation of grain and material other than grain in combine harvester cleaning devices. Based on a literature study, it describes the most important influencing factors and presents a database for particle parameterization. It investigates the separation process in two steps with differing levels of process abstraction. The first step involves numerical separation in a vertically oscillating box with airflow, and in the context of a sensitivity study, investigates the effect of selected material, contact and operating parameters on the target variables’ separation time and grain purity. In the second step, the numerical separation process was performed in a 200 mm wide |
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segment of a combine harvester cleaning device. The numerical results were then compared with experimental investigations in order to confirm the method’s applicability. The Author Christian Korn studied Mechanical Engineering at the Technical University of Dresden and has been a Research Assistant at the Chair of Agricultural Systems and Technology since 2010. |
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