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...
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| Published in | IFAC-PapersOnLine Vol. 55; no. 27; pp. 37 - 43 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
01.01.2022
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| Subjects | |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Chiu, George T.-C. Wang, Jie |
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| Cites_doi | 10.1016/j.ijpharm.2021.120443 10.1108/CW-11-2016-0054 10.1007/s00397-009-0419-z 10.1007/s001900050236 10.1016/j.addma.2018.12.008 10.1063/1.2800784 10.1016/j.ijpharm.2021.120462 10.1016/j.conengprac.2013.03.002 10.1016/0022-247X(71)90161-2 10.1109/9.754809 10.1021/acsaem.0c02745 10.1016/j.conengprac.2011.02.007 10.1109/66.492814 10.1002/elps.202100327 10.1021/acsanm.0c02295 10.1109/TCST.2016.2628716 10.1115/1.4048111 10.1016/j.conengprac.2011.05.009 10.1109/TMECH.2005.852398 10.1063/1.5085868 10.1016/j.jmsy.2018.04.003 10.1063/1.3543758 10.3390/pharmaceutics13020247 10.1109/3477.558841 10.1109/9.45169 |
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| Keywords | stochastic systems Inkjet printing additive manufacturing process control Kalman filter |
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printing publication-title: Journal of Manufacturing Systems doi: 10.1016/j.jmsy.2018.04.003 – volume: 23 issue: 1 year: 2011 ident: 10.1016/j.ifacol.2022.10.485_bib0007 article-title: First drop dissimilarity in drop-on-demand inkjet devices publication-title: Physics of Fluids doi: 10.1063/1.3543758 – volume: 13 issue: 2 year: 2021 ident: 10.1016/j.ifacol.2022.10.485_bib0015 article-title: Fundamental investigations into metoprolol tartrate deposition on orodispersible films by inkjet printing for individualised drug dosing publication-title: Pharmaceutics doi: 10.3390/pharmaceutics13020247 – volume: 27 start-page: 326 issue: 2 year: 1997 ident: 10.1016/j.ifacol.2022.10.485_bib0016 article-title: Predictive head movement tracking using a kalman filter publication-title: IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) doi: 10.1109/3477.558841 – volume: 35 start-page: 141 issue: 2 year: 1990 ident: 10.1016/j.ifacol.2022.10.485_bib0010 article-title: Estimating 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| SubjectTerms | additive manufacturing Inkjet printing Kalman filter process control stochastic systems |
| Title | Control of Drop Volume and Drop Jetting Velocity in Inkjet Printing |
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