Airflow Assisted Electrohydrodynamic Jet Printing: An Advanced Micro-Additive Manufacturing Technique

Author(s):  
Lai Yu Leo Tse ◽  
Kira Barton

Electrohydrodynamic jet (e-jet) printing is a growing technology for high resolution (<20μm) printing. It enjoys the advantages of other additive manufacturing technologies and is compatible with a large range of materials. E-jet applications include electronic fabrication, high-resolution prototyping, and bio-medical devices. Despite the diverse range of applications, e-jet printing dynamics are sensitive to varying standoff heights and changing electric fields. As such, conventional e-jet printing generally consists of a conductive nozzle printing onto a flat, conductive substrate. To address this limitation, this paper presents an airflow assisted e-jet printhead that is shown to greatly reduce the substrate effects while providing good printing resolution (<15μm). The working principle and design challenges are provided. Experimental demonstrations validate the performance capabilities of the modified e-jet printhead.

2021 ◽  
Vol 543 ◽  
pp. 148800
Author(s):  
Wuhao Zou ◽  
Haibo Yu ◽  
Peilin Zhou ◽  
Ya Zhong ◽  
Yuechao Wang ◽  
...  

2019 ◽  
Vol 166 ◽  
pp. 107609 ◽  
Author(s):  
Wuhao Zou ◽  
Haibo Yu ◽  
Peilin Zhou ◽  
Lianqing Liu

Small ◽  
2015 ◽  
Vol 11 (34) ◽  
pp. 4237-4266 ◽  
Author(s):  
M. Serdar Onses ◽  
Erick Sutanto ◽  
Placid M. Ferreira ◽  
Andrew G. Alleyne ◽  
John A. Rogers

Author(s):  
Christopher P. Pannier ◽  
Kira Barton ◽  
David Hoelzle ◽  
Zhi Wang

Electrohydrodynamic jet (E-jet) printing is a recent technique for high resolution additive micromanufacturing. With high resolution comes sensitivity to small disturbances, which has kept this technique from reaching its industrial potential. Closed loop control of E-jet printing can overcome these disturbances, but it requires an improved understanding of ink droplet spreading on the substrate and a physical model to predict printed feature locations and geometries from process inputs and disturbances. This manuscript examines a model of ink droplet spreading that uses assumptions that are important to the e-jet process. Our model leverages previous energy balance models that were derived for larger length scale droplets. At the smaller length scale, we find that viscous losses are a significant portion of the energy budget and must be accounted for; this is in contrast to models at length scales two orders of magnitude larger. Our model predicts the droplet height, base radius and contact angle in time from an initial volume and E-jet printing control parameters. The model is validated with published droplet spreading data and new measurements of E-jet printed droplets of diameter 8 μm. The viscous friction calculated in the new model is found to be significant compared to surface energy.


Author(s):  
Chuang Wei ◽  
Jingyan Dong

This paper presents the development and modeling a high-resolution electrohydrodynamic-jet (EHD-jet) printing process using phase-change ink (i.e., wax), which is capable of producing sub-10 μm footprints (sub-10 fL in volume) for super-resolution additive manufacturing. In this study, we successfully apply EHD-jet printing for phase-change ink (wax), which is widely used as modeling and supporting material for additive manufacturing, to achieve micron-scale features. The resolution for single droplet on substrate is around 5 μm with the thickness in the range of 1–2 μm, which provides great potential in both high-resolution 3D printing and 2D drop-on-demand microfabrication. The droplet formation in EHD printing is modeled by finite element analysis (FEA). Two important forces in EHD printing, electrostatic force and surface tension force, are modeled separately by FEA. The droplet size is obtained by balancing the electrostatic force and surface tension of the pending droplets around meniscus apex. Furthermore, to predict the droplet dimension at different process conditions, a dimensionless scaling law is identified to describe the relationship between dimensionless droplet diameter and modified nondimensional electrical bond number. Finally, the droplets in-flight velocity and impact characteristics (e.g., Reynolds number and Weber number) are modeled using the results from FEA analysis.


Author(s):  
Isaac A. Spiegel ◽  
Tom van de Laar ◽  
Tom Oomen ◽  
Kira Barton

Abstract Electrohydrodynamic jet printing (e-jet printing) is a nascent additive manufacturing process most notable for extremely high resolution printing and having a vast portfolio of printable materials. These capabilities make e-jet printing promising for applications such as custom electronics and biotechnology fabrication. However, reliably fulfilling e-jet printing’s potential for high resolution requires delicate control of the volume deposited by each jet. Such control is made difficult by a lack of models that both capture the dynamics of volume deposition and are compatible with the control schemes relevant to e-jet printing. This work delivers such a model. Specifically, this work introduces a definition of “droplet volume” as a dynamically evolving variable rather than a static variable, and uses this definition along with analysis of high speed microscope videos to develop a hybrid dynamical system model of droplet volume evolution. This model is validated with experimental data, which involves the contribution of a novel technique for extracting consistent droplet volume measurements from videos.


Nanoscale ◽  
2015 ◽  
Vol 7 (32) ◽  
pp. 13410-13415 ◽  
Author(s):  
Kukjoo Kim ◽  
Gyeomuk Kim ◽  
Bo Ram Lee ◽  
Sangyoon Ji ◽  
So-Yun Kim ◽  
...  

An electrohydrodynamic jet (e-jet) printed high-resolution (pixel width of 5 μm) small-molecule organic light-emitting diode (OLED) is demonstrated.


Nano Letters ◽  
2015 ◽  
Vol 15 (2) ◽  
pp. 969-973 ◽  
Author(s):  
Bong Hoon Kim ◽  
M. Serdar Onses ◽  
Jong Bin Lim ◽  
Sooji Nam ◽  
Nuri Oh ◽  
...  

Small ◽  
2015 ◽  
Vol 11 (34) ◽  
pp. 4412-4412 ◽  
Author(s):  
M. Serdar Onses ◽  
Erick Sutanto ◽  
Placid M. Ferreira ◽  
Andrew G. Alleyne ◽  
John A. Rogers

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