This paper proposes an improved model of height profilefor drop-on-demand printing of UV curable ink. The proposedmodel is based on our previous effort to model the volume andarea propagation as a function of height difference. The modeluses the measurements of 2-drop and 3-drop lines to experimen-tally obtain needed parameters. It uses the parameters to predictand validate height profiles of 4 and more drops in a straightline. Using the same root mean square (RMS) error as bench-mark, this model achieves 5.9% RMS height profile error on 4-drop lines. This represents more than 60% reduction from graph-based model and an improvement from our previous effort.


An Improved Model of Height Profile for Drop-on-Demand Print of Uv Curable Ink

Division / Sponsors: 
Dynamic Systems & Control (DSCD)

Paper Proceedings: https://asmedigitalcollection.asme.org/DSCC/DSCC2020/volume/84270

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