Data from: Exploiting nozzle geometry to predict resolution in extrusion-based bioprinting: mathematical modelling of a power-law fluid

Extrusion-based additive manufacturing is a popular technique used in the
fabrication of three-dimensional constructs. Owing to the non-linear
manner in which process parameters impact resolution and printability, the
optimal combination remains platform- and material-specific. This study
proposes a user-friendly, adaptable model to predict the diameter of a
printed line of material through extrusion-based bioprinting. Exploiting
the geometry of an arbitrary, axisymmetric nozzle, and assuming a
power-law fluid, the model generated determines a relationship between the
printed filament diameter and the pressure drop, nozzle travel speed,
nozzle geometry, and material flow properties. Employing the model prior
to printing enables engineers to restrict process parameter space and
minimise the dependence on the current print-and-test methodology before
an optimal combination of process parameters is determined. Two materials
(a poly(vinyl alcohol)-based hydrogel and Nivea Crème), two temperature
conditions, and three nozzle sizes were used for model validation,
presenting good agreement with model predictions. When the shear-thinning
property is included, R2 > 0.97. This model provides context and
direction for future optimisation-driven design research for this
advancing manufacturing technology.