静电液滴喷射的弱电检测技术

Hui-Fang Huang, Lingyun Wang, Yinhong Dai, Daoheng Sun
{"title":"静电液滴喷射的弱电检测技术","authors":"Hui-Fang Huang, Lingyun Wang, Yinhong Dai, Daoheng Sun","doi":"10.1109/IWISA.2009.5073236","DOIUrl":null,"url":null,"abstract":"For further researching on electrostatic droplet ejection, much detection methods have been studied. As the most direct and efficient approach, detection technique for weak current (level of nA) of the jetting is present in this paper. To observe and analyze the signals of electric current, detection system has been constructed. The parameters such as ejection frequency, ejection consistency can be investigated. By measuring the signal waveform, we can obtain that the appearance of a peak pulse indicates a droplet ejected to the counter electrode, and in the experimental condition of this work the asymmetric frequency of jetting ranged from few tens to around one thousand hertz. According to the results, this detection technique have proved to be feasible and valid for further researching on the electrostatic droplet ejection event and knowing more about the influence of various experimental parameters. Meanwhile, this detection method has a great potential as a technical condition of intelligent control of electrostatic droplet ejection.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Weak Current Detection Technique for Electrostatic Droplet Ejection\",\"authors\":\"Hui-Fang Huang, Lingyun Wang, Yinhong Dai, Daoheng Sun\",\"doi\":\"10.1109/IWISA.2009.5073236\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For further researching on electrostatic droplet ejection, much detection methods have been studied. As the most direct and efficient approach, detection technique for weak current (level of nA) of the jetting is present in this paper. To observe and analyze the signals of electric current, detection system has been constructed. The parameters such as ejection frequency, ejection consistency can be investigated. By measuring the signal waveform, we can obtain that the appearance of a peak pulse indicates a droplet ejected to the counter electrode, and in the experimental condition of this work the asymmetric frequency of jetting ranged from few tens to around one thousand hertz. According to the results, this detection technique have proved to be feasible and valid for further researching on the electrostatic droplet ejection event and knowing more about the influence of various experimental parameters. Meanwhile, this detection method has a great potential as a technical condition of intelligent control of electrostatic droplet ejection.\",\"PeriodicalId\":6327,\"journal\":{\"name\":\"2009 International Workshop on Intelligent Systems and Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on Intelligent Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWISA.2009.5073236\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on Intelligent Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWISA.2009.5073236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

为了进一步研究静电液滴喷射,人们研究了许多检测方法。射流弱电(nA水平)检测技术是最直接、最有效的检测方法。为了观察和分析电流信号,构建了检测系统。可以考察弹射频率、弹射一致性等参数。通过对信号波形的测量,我们可以得到一个峰值脉冲的出现表明有液滴喷射到对电极上,并且在本工作的实验条件下,喷射的不对称频率范围在几十到1000赫兹左右。实验结果表明,该检测技术对于进一步研究静电液滴喷射事件和了解各种实验参数的影响是可行和有效的。同时,该检测方法作为静电液滴喷射智能控制的技术条件具有很大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Weak Current Detection Technique for Electrostatic Droplet Ejection
For further researching on electrostatic droplet ejection, much detection methods have been studied. As the most direct and efficient approach, detection technique for weak current (level of nA) of the jetting is present in this paper. To observe and analyze the signals of electric current, detection system has been constructed. The parameters such as ejection frequency, ejection consistency can be investigated. By measuring the signal waveform, we can obtain that the appearance of a peak pulse indicates a droplet ejected to the counter electrode, and in the experimental condition of this work the asymmetric frequency of jetting ranged from few tens to around one thousand hertz. According to the results, this detection technique have proved to be feasible and valid for further researching on the electrostatic droplet ejection event and knowing more about the influence of various experimental parameters. Meanwhile, this detection method has a great potential as a technical condition of intelligent control of electrostatic droplet ejection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Intelligent Systems and Applications: Select Proceedings of ICISA 2022 Selecting Accurate Classifier Models for a MERS-CoV Dataset A Method of Same Frequency Interference Elimination Based on Adaptive Notch Filter Research on Work-in-Progress Control System of Integrating PI and SPC Study on A Novel Fuzzy PLL and Its Application
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1