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Rheological State Diagrams for Rough Colloids in Shear Flow
Lilian C Hsiao1, Safa Jamali2, Emmanouil Glynos3,4
1Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695, USA.
Particle roughness significantly impacts colloidal suspensions, lowering critical stresses for shear thickening and dilatancy. Surface roughness alters effective packing and contact forces, influencing rheological behavior under stress.
Area of Science:
- Colloid and Surface Science
- Rheology
- Materials Science
Background:
- Colloidal suspensions exhibit complex rheological behaviors, including shear thickening and dilatancy.
- The role of particle surface properties, such as roughness, in dictating these behaviors is not fully understood.
Purpose of the Study:
- To investigate the influence of particle surface roughness on the rheological properties of concentrated colloidal suspensions.
- To elucidate the mechanisms by which surface roughness affects shear thickening, dilatancy, and normal stress responses.
Main Methods:
- Development of model colloids with controlled surface roughness length scales.
- Rheological measurements including shear stress, volume fraction, and normal stress analysis.
- Computer simulations of colloidal suspensions with adjustable friction coefficients.
Main Results:
- Increased particle roughness shifts the onset of shear thickening and dilatancy to lower volume fractions and critical stresses.
- Surface roughness enhances the effective packing fraction in the quasi-Newtonian flow regime.
- A sign change in the first normal stresses and reduced critical contact forces were observed with increasing roughness, indicating a transition to roughness-induced interactions.
Conclusions:
- Particle roughness is a critical factor governing the rheology of concentrated colloidal suspensions.
- Surface roughness modifies interparticle forces, leading to altered jamming transitions and load-bearing contact mechanisms.
- Findings provide insights into designing and predicting the flow behavior of particulate materials.
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