Waveform Optimization for Improving Inkjet Printing Speed

Author:

Sui Chao1ORCID,Zhou Wenchao

Affiliation:

1. University of Arkansas Fayetteville

Abstract

Abstract Inkjet has been widely used in different industrial applications for its high resolution and capability to print with multiple materials, but its printing speed has limited its use for high volume production. This paper presents a new approach to improve the speed of piezo inkjet printing through waveform optimization. We previously developed a model that can predict the effects of driving signal parameters on printing speed, and in this paper, we use optimization techniques to find the optimal signal parameters for maximum speed. We then validate these optimal parameters using a custom-designed experimental setup with a high-speed camera capable of capturing the dynamics of droplet formation. Our results show that our optimized signal achieves successful jetting with a five-time increase in equivalent printing speed compared to a benchmark commercial printhead (Xaar 128/80W).

Publisher

Research Square Platform LLC

Reference49 articles.

1. Overview of inkjet-based micromanufacturing;Wallace D,2012

2. Chen F-K, Lu J-P, Su P-J, Sung C-F, Lee Y-Z, Shiu J-W, Cheng K, Lin H-Y, Chang L-C (2007) Mask-free fabrication of color filter by an all ink-jet printing process, Proc. NIP & Digital Fabrication Conference, Society for Imaging Science and Technology, 852–854

3. Haskal EI, Buechel M, Dijksman JF, Duineveld PC, Meulenkamp EA, Mutsaers C, Sempel A, Snijder P, Vulto SIE, Weijer P (2002) 21.1: Ink Jet Printing of Passive-Matrix Polymer Light Emitting Displays. SID Symposium Digest of Technical Papers, Wiley Online Library, pp 776–779

4. Droplet formation and ejection from a micromachined ultrasonic droplet generator: Visualization and scaling;Meacham JM;Phys Fluids,2005

5. Schoeppler M (2006) Diverging ink jet technologies and applications. Proc. NIP & Digital Fabrication Conference, Society for Imaging Science and Technology, pp. 1–3

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3