Data-Driven Drop Formation Modeling in Nanoliter Drop-on-Demand Inkjet Printing

Volume 2: Intelligent Transportation/Vehicles; Manufacturing; Mechatronics; Engine/After-Treatment Systems; Soft Actuators/Manipulators; Modeling/Validation; Motion/Vibration Control Applications; Multi-Agent/Networked Systems; Path Planning/Motion Control; Renewable/Smart Energy Systems; Security/Privacy of Cyber-Physical Systems; Sensors/Actuators; Tracking Control Systems; Unmanned Ground/Aerial Vehicles; Vehicle Dynamics, Estimation, Control; Vibration/Control Systems; Vibrations ◽

10.1115/dscc2020-3292 ◽

2020 ◽

Author(s):

Jie Wang ◽

George T.-C. Chiu

Keyword(s):

Inkjet Printing ◽

Numerical Models ◽

Equivalent Circuit Model ◽

Data Driven ◽

Drop Formation ◽

Real Time Control ◽

Drop Volume ◽

On Demand ◽

Time Control ◽

Drop On Demand

Abstract Drop formation models are essential for the control of drop-on-demand (DoD) inkjet printing process. Traditional numerical models are difficult to implement in real-time control. In this paper, an equivalent circuit model (ECM) is developed to motivate the implementation of a data-driven ARX model combined with a drop volume adjuster to estimate drop volume. Drop pinch-off instants and drop velocities are modeled in polynomials with respect to the parameters of the drive waveform. All models are validated through 10-fold cross validation. The simulation of the drop volume model shows good agreement with experimental results.

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The Simulation Study of Fluid Physical Properties on Drop Formation of Drop-on-demand Inkjet Printing

MATEC Web of Conferences ◽

10.1051/matecconf/20152503011 ◽

2015 ◽

Vol 25 ◽

pp. 03011 ◽

Cited By ~ 2

Author(s):

Lei Zhang ◽

Yunlong Zhu ◽

Xiaoding Cheng ◽

Chiyuan Wang

Keyword(s):

Physical Properties ◽

Simulation Study ◽

Inkjet Printing ◽

Drop Formation ◽

On Demand ◽

Drop On Demand

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Effects of nozzle and fluid properties on the drop formation dynamics in a drop-on-demand inkjet printing

Applied Mathematics and Mechanics ◽

10.1007/s10483-019-2514-7 ◽

2019 ◽

Vol 40 (9) ◽

pp. 1239-1254 ◽

Cited By ~ 2

Author(s):

A. B. Aqeel ◽

M. Mohasan ◽

Pengyu Lv ◽

Yantao Yang ◽

Huiling Duan

Keyword(s):

Inkjet Printing ◽

Drop Formation ◽

On Demand ◽

Drop On Demand ◽

Formation Dynamics ◽

Fluid Properties

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Drop Volume Control in Drop-on-Demand Inkjet Printing

Volume 3, Rapid Fire Interactive Presentations: Advances in Control Systems; Advances in Robotics and Mechatronics; Automotive and Transportation Systems; Motion Planning and Trajectory Tracking; Soft Mechatronic Actuators and Sensors; Unmanned Ground and Aerial Vehicles ◽

10.1115/dscc2019-9233 ◽

2019 ◽

Author(s):

Jie Wang ◽

Xia Chen ◽

George Chiu

Keyword(s):

Real Time ◽

Inkjet Printing ◽

High Volume ◽

Open Loop ◽

Estimation Accuracy ◽

Volume Control ◽

Symmetric Model ◽

Drop Volume ◽

On Demand ◽

Drop On Demand

Abstract Drop-on-demand (DoD) inkjet printing is used in precise-dosage deposition applications where consistent drop volume is important. Existing drop volume regulation in DoD inkjet printing are mainly open-loop approaches that are not effective in compensating for uncertainties during high volume printing applications. In this paper, a real-time image-based feedback system is proposed for regulating drop volume. A rotational symmetric model estimates drop volume from real-time images. Estimation accuracy is analyzed and validated. A simple feedback controller is developed to regulate drop volume. Experimental results validate the effectiveness of the proposed approach.

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Drop-on-demand drop formation of polyethylene oxide solutions

Physics of Fluids ◽

10.1063/1.3643269 ◽

2011 ◽

Vol 23 (10) ◽

pp. 107101 ◽

Cited By ~ 12

Author(s):

Xuejia Yan ◽

Wallace W. Carr ◽

Hongming Dong

Keyword(s):

Polyethylene Oxide ◽

Drop Formation ◽

On Demand ◽

Drop On Demand

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Development of Graphene Based Inks for Deposition via Inkjet Printing for Sensing Application

Proceedings ◽

10.3390/proceedings2131008 ◽

2018 ◽

Vol 2 (13) ◽

pp. 1008 ◽

Cited By ~ 1

Author(s):

Caterina Travan ◽

Martin Mischitz ◽

Alexander Zöpfl ◽

Ulrich Krumbein ◽

Prashant Makaram

Keyword(s):

Inkjet Printing ◽

Mass Production ◽

On Demand ◽

Drop On Demand ◽

Sensing Application

In this work we investigate and optimize graphene based inks to achieve a stable and well-controllable jetting behavior using a DoD (Drop on Demand) inject printer which has all the required characteristics of a tool for mass production.

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