Analysis of DoD inkjet printhead performance forprintable electronics fabrication using dynamic lumped element modeling andswarm intelligence based optimal prediction
来源期刊：中南大学学报(英文版)2015年第10期
论文作者：HE Mao-wei SUN Li-ling HU Kun-yuan ZHU Yun-long CHEN Han-ning
文章页码：3925 - 3934
Key words：piezoelectric inkjet system; lumped element modeling; dynamic model; nano-silver ink; artificial bee colony algorithm
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.
HE Mao-wei(何茂伟)1, SUN Li-ling(孙丽玲)2, 3, HU Kun-yuan(胡琨元)2, ZHU Yun-long(朱云龙)2, CHEN Han-ning(陈瀚宁)1
(1. School of Computer Science and Software, Tianjin Polytechnic University, Tianjin 300387, China;
2. Department of Information Service & Intelligent Control, Shenyang Institute of Automation,
Chinese Academy of Sciences, Shenyang 110016, China;
3. University of Chinese Academy of Sciences, Beijing 100040, China)
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.
Key words:piezoelectric inkjet system; lumped element modeling; dynamic model; nano-silver ink; artificial bee colony algorithm
