Course Unit Code | 542-0512/01 |
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Number of ECTS Credits Allocated | 5 ECTS credits |
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Type of Course Unit * | Compulsory |
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Level of Course Unit * | Second Cycle |
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Year of Study * | First Year |
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Semester when the Course Unit is delivered | Summer Semester |
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Mode of Delivery | Face-to-face |
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Language of Instruction | Czech |
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Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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Name of Lecturer(s) | Personal ID | Name |
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| NEC37 | prof. Ing. Jan Nečas, Ph.D. |
| ROZ092 | Ing. Jiří Rozbroj, Ph.D. |
| HLO060 | Ing. Jakub Hlosta, Ph.D. |
| ZUR071 | Ing. David Žurovec, Ph.D. |
Summary |
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The course introduces students to the numerical simulation method of discrete elements (DEM). In the course of the study the students will get acquainted with the basic classification of particulate matter and with the determination of input parameters for DEM based on the mechanical-physical properties of particulate matter. The whole process of numerical modeling including calibration and validation procedures is gradually described. The whole theoretical basis of modeling is applied at the end of the course to process systems in the field of geological engineering and treatment. |
Learning Outcomes of the Course Unit |
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The graduate of the course is acquainted with a complex approach to modeling of particulate matter in process systems using the Discrete Element Method (DEM). He / she is able to determine necessary input parameters for DEM, perform calibration of virtual particulate material and validate simulated process system. |
Course Contents |
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1. Introduction to the course, bulk materials and their classification in process systems
2. Discrete element method - introduction, history, commercial use, R&D
3. Contact models
4. Input parameters and their experimental determination
5. Defining virtual particulate matter
6. Calibration of virtual material and optimization of input data
7. Validation of transport, handling, storage and process systems
8. Data visualization and analysis
9. Simulation of transport and handling equipment in process systems
10. Simulation of storage facilities in process systems
11. Simulation of mixing processes
12. Simulation of separation processes, Simulation of crushing, disconnecting and conditioning processes
13. Advanced DEM modeling and interconnection with other numerical methods (CFD, FEM, MBD)
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Recommended or Required Reading |
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Required Reading: |
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McGlinchey, D. Characterisation of bulk solids. (Blackwell Publishing, 2005).
Jenike, A. W. Storage and Flow of Solids. (University of Utah, 1964).
Schulze, D. Powders and Bulk Solids. (Springer, 2007).
Jaluria, Y. Advanced Materials Processing and Manufacturing. Springer, 2017. ISBN 978-3-319-76983-7
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Gelnar, D., Zegzulka, J. Discrete Element Method in the Design of Transport Systems. Springer International Publishing, 2019. ISBN 978-3-030-05712-1.
O’sullivan Catherine. Particulate Discrete Element Modelling: A Geomechanics Perspective. Spon Press, 2011. ISBN 978-0-415-49036-8
Polák, Jaromír, Jiří Pavliska A Aleš Slíva. Dopravní a manipulační zařízení I. Ostrava: VŠB - Technická univerzita Ostrava, 2001. ISBN 80-248-0043-8.
Polák, Jaromír, Karel Bailotti, Jiří Pavliska A Leopold Hrabovský. Dopravní a manipulační zařízení II. Ostrava: VŠB - Technická univerzita Ostrava, 2003. ISBN 80-248-0493-X.
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Recommended Reading: |
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Woodcock, C. R., and J. S. Mason. Bulk solids handling: an introduction to the practice and technology. Springer Science & Business Media, 2012.
Arnold, Peter C.; Mclean, Arnold G.; Roberts, Alan William. Bulk solids: storage, flow and handling. Tunra, 1978.
McGlinchey, Don. Bulk solids handling. Wiley-Blackwell, 2008.
Reicks, Allen, and Michael T. Myers, eds. Bulk Material Handling by Conveyor Belt 5. SME, 2004.
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Zegzulka, J. Mechanika sypkých hmot. Ostrava: VŠB - Technická univerzita Ostrava, 2004. ISBN 80-248-0699-1.
Jasaň, V., Lemesányi, L.: Úpravnické stroje I. ES TU Košice, 1987.
Pešat, Z.: Manipulace s materiálem v hutích I. VŠB – TUO, ES, 1992.
Schulze, D. Flow Properties of Powders and Bulk Solids. 2011.
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Planned learning activities and teaching methods |
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Lectures, Tutorials, Experimental work in labs |
Assesment methods and criteria |
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Task Title | Task Type | Maximum Number of Points (Act. for Subtasks) | Minimum Number of Points for Task Passing |
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Credit and Examination | Credit and Examination | 100 (100) | 51 |
Credit | Credit | 40 | 20 |
Examination | Examination | 60 | 30 |