Abstract
The work presented in this paper demonstrates the use of metamodels to capture the relations between the discharge flow and the design parameters of a silo. Based on simulation data for a discharging silo a metamodel is developed that relates the size of the discharge opening and the hopper angle to the performance of the silo. The created metamodel is a response surface model which is trained with numerical data from DEM simulations. The results show that with a full factorial DoS a reliable response surface can be created that predicts the simulation results in the points in between the training data. It can be concluded that metamodelling techniques are a promising tool for the prediction of behaviour of granular matter in silo designs and in designs of other types of bulk handling equipment.
Original language | English |
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Title of host publication | CHoPS 2018: 9th International Conference on Conveying and Handling of Particulate Solids |
Number of pages | 6 |
Publication status | Published - 2018 |
Event | CHoPS 2018: 9th International Conference on Conveying and Handling of Particulate Solids - London, United Kingdom Duration: 10 Sept 2018 → 14 Sept 2018 |
Conference
Conference | CHoPS 2018: 9th International Conference on Conveying and Handling of Particulate Solids |
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Country/Territory | United Kingdom |
City | London |
Period | 10/09/18 → 14/09/18 |
Keywords
- Discrete Element Method
- cohesive iron ore
- calibration
- penetration resistance
- consolidation