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That is, parameters Δa and Δb characterize the maximum spread of αi and βi.
Once it reaches maximum spread, it becomes so thin that it ruptures, producing fragmented splats.
Impact dynamics are determined and the maximum spread factor calculated for different Reynolds and Weber numbers.
Results show that greater maximum spread diameters are achieved with the higher impact velocities and lower viscosity droplets.
To find an optimal parameter for Multi-Objective Particle Swarm Optimization (MOPSO), generational distance (GD), maximum spread, spacing, and diversity metrics are applied.
The aJG adaptation of MOSA leads to non-dominated optimal solutions having a good spacing and reasonable maximum spread of the non-dominated solutions.
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During spreading, solidification occurs at the droplet edge before maximum spreading.
Based on the energy balance, an analytical model with improved boundary layer description is proposed to predict maximum spreading of droplet following impact on porous surfaces when the effect of heat transfer is negligible.
Also, for the sake of simplicity, we now assume a maximum spreading length (in time domain, ).
Droplets on surfaces with worse wettabilities recoil more after their maximum spreading radii and even rebound from the surface.
Surfaces with better wettabilities have faster spreading and larger maximum spreading radii which result in stronger liquid convection during the dynamic phase.
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