Abstract

By introducing image recognition and micro-current testing, jet behavior research was conducted, in which the real-time recognition of ejection mode was realized. To study the factors influencing ejection modes and the current variation trends under different modes, an Electrohydrodynamic Direct-Write (EDW) system with functions of current detection and ejection mode recognition was firstly built. Then a program was developed to recognize the jet modes. As the voltage applied to the metal tip increased, four jet ejection modes in EDW occurred: droplet ejection mode, Taylor cone ejection mode, retractive ejection mode and forked ejection mode. In this work, the corresponding relationship between the ejection modes and the effect on fiber deposition as well as current was studied. The real-time identification of ejection mode and detection of electrospinning current was realized. The results in this paper are contributed to enhancing the ejection stability, providing a good technical basis to produce continuous uniform nanofibers controllably.

Highlights

  • Electrohydrodynamic direct-write technology shows good potential applications in flexible electronics, biological tissue engineering[1,2,3] and other fields because it is easy to integrate with accurate positioning

  • Exploring the evolution of the motion of charged jet, constructing the injection control model, enhancing the stability of jet ejection in Electrohydrodynamic direct-write processing have been the keys to the promotion of its industrial applications

  • The accurate Electrohydrodynamic Direct-Write (EDW) system used in this work is shown in Fig. 1, which including a micro-nanospinning jet image detector and a electrospinning current detector

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Summary

Jet behaviors and ejection mode recognition of electrohydrodynamic directwrite

Jianyi Zheng,[1,2,3] Kai Zhang,[1,2,3] Jiaxin Jiang,[1,2,3] Xiang Wang,[4] Wenwang Li,[4] Yifang Liu,[1,2,3] Juan Liu,[1,2,3] and Gaofeng Zheng1,2,3,a 1Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361005, China 2Fujian Key Laboratory of Universities and Colleges for Transducer Technology, Xiamen 361005, China 3Xiamen Key Laboratory of Optoelectronic Transducer Technology, Xiamen 361005, China 4School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, China (Received 14 November 2017; accepted 8 January 2018; published online 18 January 2018)

INTRODUCTION
CHARACTERISTICS OF EJECTION MODES
IMAGE RECOGNITION PROGRAM
CONCLUSIONS
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