DP15                         My Program 


Dense Particulate Systems


Investigating the impact of rolling friction on dense suspensions: A network science approach


October 15, 2024 (Tuesday) 10:50


Track 3 / Waterloo 5

(Click on name to view author profile)

  1. Sharma, Shweta (Case Western Reserve University, Macromolecular Science and Engineering)
  2. Kier, Caroline (Case Western Reserve University, Macromolecular Science and Engineering)
  3. Sharma, Abhishek (University of Chicago, Pritzker School of Molecular Engineering)
  4. Singh, Abhinendra (Case Western Reserve University, Macromolecular Science and Engineering)

(in printed abstract book)
Shweta Sharma1, Caroline Kier1, Abhishek Sharma2 and Abhinendra Singh1
1Macromolecular Science and Engineering, Case Western Reserve University, Cleveland, OH 44106; 2Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL


Sharma, Shweta


computational methods; colloids; dense systems; networks; suspensions


Dense suspensions play a significant role in various industrial and natural processes, encompassing applications such as daily care, homecare, food, cosmetics, paints, cement, and more. These materials exhibit complex behaviors stemming from the interplay between particle interactions and externally applied shear. Such interactions are influenced by solid-fluid interfacial chemistry and frictional forces arising from particle roughness (Morris, Ann. Rev. of Fluid Mech.(2020), 52, 121–44). The numerical simulation tool that integrates lubrication flow with discrete element modeling has successfully replicated experimentally observed steady-state rheology. Recent research has associated strong shear thickening and discontinuous shear thickening with stress-activated frictional forces, resisting relative motion, thus stabilizing the frictional force chain network and resisting external deformation (Wyart and Cates PRL (2014), 112, 098302; Singh et al. PRL(2020), 124, 248005). Incorporating rolling friction together with sliding friction in discrete particle simulations yields quantitative predictions of experimental results concerning shear thickening rheology in dense suspensions (Singh et al. PRL (2020), 124, 248005). Our research utilizes network theory (JCM(2018) 6, 485–5) tools to analyze force chain networks in systems featuring sliding friction and those with sliding and rolling friction. We explore the underlying dynamics of force chain networks, including their length, linearity, buckling, and criticality in the formation of networks, leading to stronger shear thickening and shear induced jamming. Our systematic analysis reveals how the inclusion of rolling friction modifies the structural and mechanical characteristics of dense suspensions, providing insights into their rheological behavior and flow dynamics. Additionally, we explore a variety of network theory tools that can be employed to analyze network formation in various dense suspensions and understand their mechanical and rheological properties.