Complex fluids include colloids, emulsions, polymers, liquid crystals, surfactants, and their biological counterparts. Internally they contain microscopic substructures: colloidal particles, emulsion droplets, chainlike polymer molecules, etc. Due to their large size and sluggish thermal jostling dynamics, compared to simple molecules, these substructures are readily reorganized by an imposed flow, often taking the system far from equilibrium. This reorganisation in turn feeds back on the flow, leading to strongly nonlinear flow response at the macroscopic scale. These nonlinear flows are widespread in industrial applications such as pharmaceuticals, display technologies, paints, coatings, lubricants, etc., whether during processing or directly in use. Understanding this remarkable flow behaviour is thus of great practical importance.
Conventionally materials are categorised into solids, which retain their own shape, and liquids, which assume the shape of their container. Many complex fluids defy this categorisation, instead behaving as so called yield stress fluids. Examples include dense colloids, emulsions, foams, microgels, pastes and slurries. At imposed loads below a critical yield stress, such materials show solid-like response, often because their constituent substructures are too densely packed to rearrange. At larger stresses, they yield and flow like a liquid. This leads to important applications in foods, pharmaceuticals, adhesives, construction, fire-fighting, etc.
For any complex fluid, a key challenge is to understand how its macroscopic deformation and flow properties emerge out of the underlying collective dynamics of the microscopic substructures. For yield stress fluids this is a particularly difficult challenge, because the elasticity of a jammed particle packing makes long-ranged spatial cooperativity between the constituent microstructures important.
RheoYield's overall objectives are:
* To understand how the macroscopic rheological (deformation and flow) properties of yield stress fluids emerge out of the collective microscopic dynamics of their constituent substructures.
* To pioneer new, microscopically aware computational studies for the prediction of the rheology of yield stress fluids.
* To develop basic new science underpinning strategies to enable us to control the rheology of yield stress materials.