Control of Drop Volume and Drop Jetting Velocity in Inkjet Printing

Consistent dosages with high deposition accuracy are critical for drop-on-demand(DoD) inkjet printing to be used in additive manufacturing and device characterization. Practically, drop volume and drop jetting velocity are subject to process uncertainties, such as applied pressure fluctuation and va...

Full description

Saved in:
Bibliographic Details
Published inIFAC-PapersOnLine Vol. 55; no. 27; pp. 37 - 43
Main Authors Wang, Jie, Chiu, George T.-C.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.01.2022
Subjects
additive manufacturing
Inkjet printing
Kalman filter
process control
stochastic systems
stochastic systems
Inkjet printing
additive manufacturing
process control
Kalman filter
Online AccessGet full text

Cover

More Information
Summary:Consistent dosages with high deposition accuracy are critical for drop-on-demand(DoD) inkjet printing to be used in additive manufacturing and device characterization. Practically, drop volume and drop jetting velocity are subject to process uncertainties, such as applied pressure fluctuation and variation in printheads, for which open-loop approaches are unable to compensate. In this work, a stochastic system model of the relation between two control parameters of the firing waveform and two outputs, drop volume and drop jetting velocity, is developed from experimental data. An image-based control strategy which comprises a one-step look ahead controller combined with a Kalman estimator for model parameters estimation is proposed to control the drop volume and drop jetting velocity. The effectiveness of the proposed control strategy is validated experimentally.
ISSN:2405-8963
2405-8963
DOI:10.1016/j.ifacol.2022.10.485