Jet behaviors and ejection mode recognition of electrohydrodynamic direct-write

Jet behaviors and ejection mode recognition of electrohydrodynamic direct-write

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-Wri...

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Main Authors: Jianyi Zheng, Kai Zhang, Jiaxin Jiang, Xiang Wang, Wenwang Li, Yifang Liu, Juan Liu, Gaofeng Zheng
Format: Article
Language:English
Published: AIP Publishing LLC 2018-01-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/1.5014993
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spelling doaj-c205ed7013764ad6ba4fe2d99bb939912020-11-25T00:10:52ZengAIP Publishing LLCAIP Advances2158-32262018-01-0181015122015122-810.1063/1.5014993069801ADVJet behaviors and ejection mode recognition of electrohydrodynamic direct-writeJianyi Zheng0Kai Zhang1Jiaxin Jiang2Xiang Wang3Wenwang Li4Yifang Liu5Juan Liu6Gaofeng Zheng7Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361005, ChinaDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361005, ChinaDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361005, ChinaSchool of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, ChinaSchool of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, ChinaDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361005, ChinaDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361005, ChinaDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361005, ChinaBy 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.http://dx.doi.org/10.1063/1.5014993
collection DOAJ
language English
format Article
sources DOAJ
author Jianyi Zheng
Kai Zhang
Jiaxin Jiang
Xiang Wang
Wenwang Li
Yifang Liu
Juan Liu
Gaofeng Zheng
spellingShingle Jianyi Zheng
Kai Zhang
Jiaxin Jiang
Xiang Wang
Wenwang Li
Yifang Liu
Juan Liu
Gaofeng Zheng
Jet behaviors and ejection mode recognition of electrohydrodynamic direct-write
AIP Advances
author_facet Jianyi Zheng
Kai Zhang
Jiaxin Jiang
Xiang Wang
Wenwang Li
Yifang Liu
Juan Liu
Gaofeng Zheng
author_sort Jianyi Zheng
title Jet behaviors and ejection mode recognition of electrohydrodynamic direct-write
title_short Jet behaviors and ejection mode recognition of electrohydrodynamic direct-write
title_full Jet behaviors and ejection mode recognition of electrohydrodynamic direct-write
title_fullStr Jet behaviors and ejection mode recognition of electrohydrodynamic direct-write
title_full_unstemmed Jet behaviors and ejection mode recognition of electrohydrodynamic direct-write
title_sort jet behaviors and ejection mode recognition of electrohydrodynamic direct-write
publisher AIP Publishing LLC
series AIP Advances
issn 2158-3226
publishDate 2018-01-01
description 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.
url http://dx.doi.org/10.1063/1.5014993
work_keys_str_mv AT jianyizheng jetbehaviorsandejectionmoderecognitionofelectrohydrodynamicdirectwrite
AT kaizhang jetbehaviorsandejectionmoderecognitionofelectrohydrodynamicdirectwrite
AT jiaxinjiang jetbehaviorsandejectionmoderecognitionofelectrohydrodynamicdirectwrite
AT xiangwang jetbehaviorsandejectionmoderecognitionofelectrohydrodynamicdirectwrite
AT wenwangli jetbehaviorsandejectionmoderecognitionofelectrohydrodynamicdirectwrite
AT yifangliu jetbehaviorsandejectionmoderecognitionofelectrohydrodynamicdirectwrite
AT juanliu jetbehaviorsandejectionmoderecognitionofelectrohydrodynamicdirectwrite
AT gaofengzheng jetbehaviorsandejectionmoderecognitionofelectrohydrodynamicdirectwrite
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