Evidence map›Paper›PMID 31979334›Full record

ArticleMicromachines2020

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

Guoyi Kang, Gaofeng Zheng, Yanping Chen, Jiaxin Jiang, Huatan Chen, Xiang Wang, Wenwang Li, Yuqing Huang, Jianyi Zheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Guoyi KangDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.
Gaofeng ZhengDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.
Yanping ChenDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.
Jiaxin JiangDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.
Huatan ChenDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.
Xiang WangSchool of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, China.
Wenwang LiSchool of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, China.
Yuqing HuangDepartment of Electronics Science, Xiamen University, Xiamen 361005, China.
Jianyi ZhengDepartment of Instrumental and Electrical Engineering, Xiamen University, Xiamen 361102, China.

Funding

Fundamental Research Funds for the Central Universities 20720180067Natural Science Foundation of Guangdong Province 2018A030313522Science and Technology Planning Project of Fujian Province 2018J01082Science and Technology Planning Project of Fujian Province 2018J01529Science and Technology Planning Project of Shenzhen Municipality in China JCYJ20180306173000073the National Natural Science Foundation of China 51805460the National Natural Science Foundation of China U1505243
6 · The paper itself

Abstract

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.

Indexed as

current characteristicselectrohydrodynamic direct-writingjet mode recognitionKaiser filtermicro/nano current detection

Identifiers

PMID31979334
PMCPMC7074108

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.