Maximal spreading of impacting viscoelastic droplets
Orr Avni, Dongyue Wang, Mithun Ravisankar, Roberto Zenit
TL;DR
This work addresses how viscoelasticity alters the maximal spreading of impacting droplets by extending the Newtonian energy-balance model with a single elastic correction factor α(De). Using a Maxwell-fluid description, it derives a closed-form expression for the normalized maximal diameter $\bar{D}_{max}$ that incorporates elastic corrections via $α(De)=\frac{1}{De}e^{-1/De}$ and confirms the model against experiments with dilute PAA solutions. The key finding is that elasticity reduces maximal spreading most strongly when $De\approx1$, with up to 40% suppression, while elastic effects vanish for $De\gtrsim10$, and viscous dissipation can mask elasticity when the viscous boundary layer is thick. The framework thus extends inertia–capillary droplet-spreading correlations beyond Newtonian fluids, offering a practical basis for predicting viscoelastic impact outcomes in printing, coating, and spray processes.
Abstract
Droplet impact and spreading on solid substrates are well understood for Newtonian fluids, yet how viscoelasticity alone modifies the maximal spreading remains unclear. To discern the physical mechanisms governing the spreading dynamics, we present a simplified theoretical model, validated by impact experiments, to quantify how fluid elasticity modifies the maximal spreading of impacting droplets. Experiments were performed using fluids within a narrow range of viscosity and surface tension, but varying relaxation time. While following similar asymptotic scalings as Newtonian droplets, the maximum diameter for viscoelastic droplets exhibits a clear deviation from Newtonian behaviour only when the Deborah number is of order unity. The maximum spread diameter is reduced by as much as 40% from the expected value for Newtonian fluid. These results support the central prediction of our model: an extension of classical energy balance that incorporates viscoelastic effects through a single correction factor. The model captures the observed reduction in maximal spreading and predicts both the location and magnitude of the most substantial viscoelastic effects, providing a basis for extending impact models beyond purely Newtonian fluids.
