TY - GEN
T1 - Input Shaping for Control of a High-Resolution Electrohydrodynamic Jet Printing Process
AU - Farjam, Nazanin
AU - Wu, Maxwell
AU - Hawa, Angelo
AU - Barton, Kira
N1 - This work was supported by Rackham Predoctoral Fellowship by the University of Michigan. REFERENCES
PY - 2023
Y1 - 2023
N2 - Electrohydrodynamic jet (e-jet) printing is a high-resolution, additive manufacturing process capable of printing micro/nanometer scale patterns for applications in electrical and optical sensors. Despite stringent design requirements to achieve functional printed sensors, most e-jet printers operate in an open-loop paradigm, shaping the input signal as a standard square voltage with constant low baseline and high peak voltages, and a set pulse duration to induce droplet ejections. These constant input values limit the volume and droplet spacing to set magnitudes, while unmodelled dynamics within the process may result in inaccurately printed patterns. In order to achieve more complex deposition patterns while mitigating the effects of unmodeled jetting dynamics, this paper presents an input shaping framework that allows for the design of variable jetting frequencies and volumes and compensates for unmodeled dynamics through data-driven updates observed across repetitive droplet ejections. Simulation results demonstrate the efficacy of the proposed approach.
AB - Electrohydrodynamic jet (e-jet) printing is a high-resolution, additive manufacturing process capable of printing micro/nanometer scale patterns for applications in electrical and optical sensors. Despite stringent design requirements to achieve functional printed sensors, most e-jet printers operate in an open-loop paradigm, shaping the input signal as a standard square voltage with constant low baseline and high peak voltages, and a set pulse duration to induce droplet ejections. These constant input values limit the volume and droplet spacing to set magnitudes, while unmodelled dynamics within the process may result in inaccurately printed patterns. In order to achieve more complex deposition patterns while mitigating the effects of unmodeled jetting dynamics, this paper presents an input shaping framework that allows for the design of variable jetting frequencies and volumes and compensates for unmodeled dynamics through data-driven updates observed across repetitive droplet ejections. Simulation results demonstrate the efficacy of the proposed approach.
UR - https://www.scopus.com/pages/publications/85173807573
UR - https://www.scopus.com/pages/publications/85173807573#tab=citedBy
U2 - 10.1109/CCTA54093.2023.10253278
DO - 10.1109/CCTA54093.2023.10253278
M3 - Conference contribution
AN - SCOPUS:85173807573
T3 - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
SP - 156
EP - 161
BT - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Conference on Control Technology and Applications, CCTA 2023
Y2 - 16 August 2023 through 18 August 2023
ER -