Enabling higher jet frequencies for an inkjet printhead using iterative learning control

Wassink, M.B. Groot; Bosch, Nathan; Bosgra, О.H.; Koekebakker, Sjirk

doi:10.1109/cca.2005.1507225

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Yang et al [36] optimized the actuation waveform using multipulse crosstalk modulation to achieve the maximum DOD inkjet frequency. The Iterative Learning Control method was also used to achieve a higher jetting frequency for an inkjet printhead by reducing residual vibrations [37].…”

Section: Introductionmentioning

confidence: 99%

Waveform Optimization for Improving Inkjet Printing Speed

Sui

Zhou²

2023

Preprint

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Inkjet has been widely used in different industrial applications for its high resolution and capability to print with multiple materials, but its printing speed has limited its use for high volume production. This paper presents a new approach to improve the speed of piezo inkjet printing through waveform optimization. We previously developed a model that can predict the effects of driving signal parameters on printing speed, and in this paper, we use optimization techniques to find the optimal signal parameters for maximum speed. We then validate these optimal parameters using a custom-designed experimental setup with a high-speed camera capable of capturing the dynamics of droplet formation. Our results show that our optimized signal achieves successful jetting with a five-time increase in equivalent printing speed compared to a benchmark commercial printhead (Xaar 128/80W).

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Section: Introductionmentioning

confidence: 99%

Waveform Optimization for Improving Inkjet Printing Speed

Sui

Zhou²

2023

Preprint

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“…It is optimal to use an iterative learning method to improve the droplet-forming quality of PPHs because the droplet-forming process is executed repeatedly during material deposition. Wassink first applied the control method to PPHs to improve their jet frequencies [13]. Given the lack of a theoretical model for PPHs at the time, he identified a frequency response function as the theoretical model of the PPH based on the self-sensing signal [14].…”

Section: Introductionmentioning

confidence: 99%

Waveform Design Method for Piezoelectric Print-Head Based on Iterative Learning and Equivalent Circuit Model

et al. 2023

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Piezoelectric print-heads (PPHs) are used with a variety of fluid materials with specific functions. Thus, the volume flow rate of the fluid at the nozzle determines the formation process of droplets, which is used to design the drive waveform of the PPH, control the volume flow rate at the nozzle, and effectively improve droplet deposition quality. In this study, based on the iterative learning and the equivalent circuit model of the PPHs, we proposed a waveform design method to control the volume flow rate at the nozzle. Experimental results show that the proposed method can accurately control the volume flow of the fluid at the nozzle. To verify the practical application value of the proposed method, we designed two drive waveforms to suppress residual vibration and produce smaller droplets. The results are exceptional, indicating that the proposed method has good practical application value.

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