We present physics-based nozzle design rules to achieve high-throughput and
stable jetting in drop-on-demand liquid metal 3D printing. The design rules are
based on scaling laws that capture the change of meniscus oscillation
relaxation time with geometric characteristics of the nozzle's inner profile.
These characteristics include volume, cross-sectional area, and inner surface
area of the nozzle. Using boundary layer theory for a simple geometry, we show
that the meniscus settles faster when the ratio of inner surface area to volume
is increased. High-fidelity multiphase flow simulations verify this scaling. We
use these laws to explore several design concepts with parameterized classes of
shapes that reduce the meniscus relaxation time while preserving desired
droplet specs. Finally, we show that for various nozzle profile concepts, the
optimal performance can be achieved by increasing the ratio of the
circumferential surface area to the bulk volume to the extent that is allowable
by manufacturing constraints.Comment: Under Review in Physics of Fluids, AIP Publishin