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A “Sequential Design of Simulations” approach for exploiting and calibrating discrete element simulations of cohesive powders

Published version
Peer-reviewed

Change log

Authors

Chen, X 
Pei, C 
Elliott, JA 

Abstract

jats:titleAbstract</jats:title>jats:pThe flow behaviours of cohesive particles in the ring shear test were simulated and examined using discrete element method guided by a design of experiments methodology. A full factorial design was used as a screening design to reveal the effects of material properties of partcles. An augmented design extending the screening design to a response surface design was constructed to establish the relations between macroscopic shear stresses and particle properties. It is found that the powder flow in the shear cell can be classified into four regimes. Shear stress is found to be sensitive to particle friction coefficient, surface energy and Young’s modulus. A considerable fluctuation of shear stress is observed in high friction and low cohesion regime. In high cohesion regime, Young’s modulus appears to have a more significant effect on the shear stress at the point of incipient flow than the shear stress during the pre-shear process. The predictions from response surface designs were validated and compared with shear stresses measured from the Schulze ring shear test. It is found that simulations and experiments showed excellent agreement under a variety of consolidation conditions, which verifies the advantages and feasibility of using the proposed “Sequential Design of Simulations” approach.</jats:p>

Description

Keywords

discrete element method, cohesive materials, parameter calibration, ring shear cell, design of experiments

Journal Title

Frontiers of Chemical Science and Engineering

Conference Name

Journal ISSN

2095-0179
2095-0187

Volume Title

16

Publisher

Springer Science and Business Media LLC
Sponsorship
Birmingham City Council (14060)
Engineering and Physical Sciences Research Council (EP/N025075/1)
Advanced Manufacturing Supply Chain Initiative ‘Advanced Digital Design of Pharmaceutical Therapeutics’ (ADDoPT) project (Grant No. 14060) EPSRC grant INFORM 2020 (EP/N025075/1).