Loading...
Loading...

Go to the content (press return)

Classifying granular materials for feeding performance using experimental and numerical techniques

Author
Torres-Serra, J.; Caba, J.; Rodriguez-Ferran, A.; Romero, E.
Type of activity
Presentation of work at congresses
Name of edition
9th International Conference on Conveying and Handling of Particulate Solids
Date of publication
2018
Presentation's date
2018-09-11
Book of congress proceedings
CHoPS 2018: 9th International Conference on Conveying and Handling of Particulate Solids
First page
1
Last page
6
Repository
http://hdl.handle.net/2117/129673 Open in new window
https://www.researchgate.net/publication/329589579_Classifying_granular_materials_for_feeding_performance_using_experimental_and_numerical_techniques Open in new window
URL
http://www.constableandsmith.com/events/chops-2018 Open in new window
Abstract
Flowability of powders and bulk solids is critical for the packaging industry in the selection and design of bulk material handling equipment. Nowadays, a variety of feeder systems are used for dosing operations in bagging lines, but a robust methodology for classifying granular materials based on the expected feeding performance from their physical and mechanical properties has not yet been established. This paper proposes an experimental protocol to characterise powders and bulk solids, includ...
Citation
Torres-Serra, J. [et al.]. Classifying granular materials for feeding performance using experimental and numerical techniques. A: International Conference on Conveying and Handling of Particulate Solids. "CHoPS 2018: 9th International Conference on Conveying and Handling of Particulate Solids". 2018, p. 1-6.
Keywords
Feeding machinery, cluster analysis, flowability, granular column collapse
Group of research
LACÀN - Numerical Methods for Applied Sciences and Engineering
MSR - Soil and Rock Mechanics

Participants