DEM analysis of cohesive granular shear flow using dynamic adhesion force model – Model validation for contact-dominated regime
When the DEM simulations are performed, the particle stiffness of the Discrete Element Method (DEM) is often reduced to reduce the computational cost. The Dynamic Adhesion/Cohesion Force Model (DAFM/DCFM) was proposed for adhesive/cohesive particles to make the effect of adhesion/cohesion force on the collisional motion of a particle with a reduced particle stiffness equivalent to that of the original system. This study validates the applicability of DCFM to the contact-dominated regime by means of a series of DEM simulations of two-dimensional simple shear flow of cohesive spherical particles. The results demonstrate that DCFM accurately represents the cohesive nature of the original system with respect to the fluid-to-solid phase transition of granular medium due to a reduction in shear rate, as well as the shear stress of the granular medium. It is demonstrated that the bond-breaking model proposed in the present study describes well the validity of DCFM in the contact-dominated regime. • The Dynamic Cohesion Force Model (DCFM) has been validated. • DCFM has extensive validity for the DEM simulation of cohesive particles. • DCFM well expresses the fluid-solid phase transition of cohesive granular medium. • DCFM well expresses the stresses in both collision-and contact-dominated flows. • The bond-breaking model explains the validity of DCFM in the solid-state regime.
Authors
- Toshitsugu Tanaka (ORCID: https://orcid.org/0000-0002-8912-0089)
- Takuya Tsuji (ORCID: https://orcid.org/0000-0001-6366-2923)
- Seiya Tanaka (ORCID: https://orcid.org/0000-0001-7662-044X)
- Kimiaki Washino (ORCID: https://orcid.org/0000-0003-1119-1909)
Institutions
- The University of Osaka (JP)
Publication Details
- Journal
- Powder Technology
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1016/j.powtec.2024.120198
- Citations
- 5
- Primary Topic
- Granular flow and fluidized beds
- Type
- article
- Field-Weighted Citation Impact
- 1.87