NDLI: Analysis of DoD inkjet printhead performance for printable electronics fabrication using dynamic lumped element modeling and swarm intelligence based optimal prediction

Content Provider	Springer Nature Link
Author	He, Mao wei Sun, Li ling Hu, Kun yuan Zhu, Yun long Chen, Han ning
Copyright Year	2015
Abstract	The major challenge in printable electronics fabrication is to effectively and accurately control a drop-on-demand (DoD) inkjet printhead for high printing quality. In this work, an optimal prediction model, constructed with the lumped element modeling (LEM) and the artificial bee colony (ABC) algorithm, was proposed to efficiently predict the combination of waveform parameters for obtaining the desired droplet properties. For acquiring higher simulation accuracy, a modified dynamic lumped element model (DLEM) was proposed with time-varying equivalent circuits, which can characterize the nonlinear behaviors of piezoelectric printhead. The proposed method was then applied to investigate the influences of various waveform parameters on droplet volume and velocity of nano-silver ink, and to predict the printing quality using nano-silver ink. Experimental results show that, compared with two-dimension manual search, the proposed optimal prediction model perform efficiently and accurately in searching the appropriate combination of waveform parameters for printable electronics fabrication.
Starting Page	3925
Ending Page	3934
Page Count	10
File Format	PDF
ISSN	20952899
Journal	Journal of Central South University of Technology
Volume Number	22
Issue Number	10
e-ISSN	22275223
Language	English
Publisher	Central South University
Publisher Date	2015-10-18
Publisher Place	Changsha
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	piezoelectric inkjet system lumped element modeling dynamic model nano-silver ink artificial bee colony algorithm Engineering Metallic Materials
Content Type	Text
Resource Type	Article
Subject	Metals and Alloys Engineering

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