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Open AccessArticle

Jet Mode Recognition of Electrohydrodynamic Direct-Writing Based on Micro/Nano Current

1
Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China
2
Shenzhen Research Institute of Xiamen University, Shenzhen 518000, China
3
School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, China
4
Department of Electronics Science, Xiamen University, Xiamen 361005, China
*
Authors to whom correspondence should be addressed.
Micromachines 2020, 11(2), 128; https://doi.org/10.3390/mi11020128
Received: 5 December 2019 / Revised: 18 January 2020 / Accepted: 20 January 2020 / Published: 23 January 2020
The online recognition of jet mode is important for the accurate control and further application of electrohydrodynamic direct-writing (EDW) technology. An EDW system with a current detection module is built for jet mode recognition. The current of the EDW jet is measured to recognize the jet mode when printing patterned structures. Then, a data processing program with a digital Kaiser low-pass filter is developed in MATLAB, via which the noise of the current signal is reduced. The features of EDW current, including the current fluctuation and the peak current intervals, are studied to recognize different jet modes. The current characteristics of three jet modes are investigated: droplet ejection mode, Taylor cone ejection mode, and retractive ejection mode. The Taylor cone ejection mode has the smallest coefficient of variation of peak current. This work provides a good way of designing the optimized control algorithm and of realizing the closed-loop control system, which contributes to enhancing the jet stability and accelerating the application of EDW technology.
Keywords: electrohydrodynamic direct-writing; micro/nano current detection; jet mode recognition; current characteristics; Kaiser filter electrohydrodynamic direct-writing; micro/nano current detection; jet mode recognition; current characteristics; Kaiser filter
MDPI and ACS Style

Kang, G.; Zheng, G.; Chen, Y.; Jiang, J.; Chen, H.; Wang, X.; Li, W.; Huang, Y.; Zheng, J. Jet Mode Recognition of Electrohydrodynamic Direct-Writing Based on Micro/Nano Current. Micromachines 2020, 11, 128.

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