A Control-Oriented Dynamical Model of Deposited Droplet Volume in Electrohydrodynamic Jet Printing

Isaac A. Spiegel, Tom van de Laar, Tom Oomen, Kira Barton

Research output: Contribution to conferencePaperAcademic

2 Citations (Scopus)

Abstract

Electrohydrodynamic jet printing (e-jet printing) is a nascent additive manufacturing process most notable for extremely high resolution printing and having a vast portfolio of printable materials. These capabilities make e-jet printing promising for applications such as custom electronics and biotechnology fabrication. However, reliably fulfilling e-jet printing’s potential for high resolution requires delicate control of the volume deposited by each jet. Such control is made difficult by a lack of models that both capture the dynamics of volume deposition and are compatible with the control schemes relevant to e-jet printing. This work delivers such a model. Specifically, this work introduces a definition of “droplet volume” as a dynamically evolving variable rather than a static variable, and uses this definition along with analysis of high speed microscope videos to develop a hybrid dynamical system model of droplet volume evolution. This model is validated with experimental data, which involves the contribution of a novel technique for extracting consistent droplet volume measurements from videos.
Original languageEnglish
Number of pages10
DOIs
Publication statusPublished - 18 Jan 2021
EventASME 2020 Dynamic Systems and Control Conference (DSCC 2020) - Virtual, Online
Duration: 5 Oct 20207 Oct 2020
https://event.asme.org/DSCC

Conference

ConferenceASME 2020 Dynamic Systems and Control Conference (DSCC 2020)
Abbreviated titleDSCC 2020
Period5/10/207/10/20
Internet address

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