Modeling Height Profile for Drop-on-Demand Print of UV Curable Ink

2019 ◽  
Author(s):  
Yumeng Wu ◽  
George Chiu
Keyword(s):  
Numerical Models ◽  
Sweet Spot ◽  
Single Drop ◽  
Height Profile ◽  
Uv Curable ◽  
On Demand ◽  
Graphic Model ◽  
Drop On Demand ◽  
Proposed Model ◽  
Better Than

Abstract This paper proposes a height profile model for drop-on-demand printing of UV curable ink. Existing models include superposition of single drops, numerical models, and graphic-based model. They are either too complicated or over simplified. Graphic model intends to find a sweet spot in between, however, accuracy is marginally improved from superposition model while it demands more computation. The proposed model aims to achieve the same as graphic model by introducing volume and area propagation matrices to reflect the localized ink flow from higher location to the lower, while avoiding the detailed physics behind it. This model assumes a constant volume and area propagation of subsequent drop due to height profile difference. It is validated with experiments on single drop, 2-drop and 3-drop line printing. Stability of this model is analyzed.. Using root mean square (RMS) error as benchmark, proposed model achieves 6.6% along the center row and 7.4% overall, better than existing models.

An Improved Model of Height Profile for Drop-On-Demand Print of Ultraviolet Curable Ink

2021 ◽  
Vol 1 (3) ◽  
Author(s):  
Yumeng Wu ◽  
George Chiu
Keyword(s):  
Model Parameters ◽  
Height Profile ◽  
On Demand ◽  
Drop On Demand ◽  
Ultraviolet Curable ◽  
Straight Line ◽  
Covered Area ◽  
Proposed Model ◽  
Compute Model ◽  
Improved Model

Abstract This paper proposes an improved model of height profile for drop-on-demand printing of ultraviolet curable ink. Unlike previous model, the proposed model propagates volume and covered area based on height difference between adjacent drops. Height profile is then calculated from the propagated volume and area. Measurements of two-drop and three-drop patterns are used to experimentally compute model parameters. The parameters are used to predict and validate height profiles of four and more drops in a straight line. Using the same root-mean-square (RMS) error as benchmark, this model achieves 5.9% RMS height profile error on four-drop lines. This represents more than 60% reduction from graph-based model and an improvement from our previous effort.

Direct-Write Process for UV-Curable Epoxy Materials by Inkjet Technology

2002 ◽  
Vol 758 ◽  
Author(s):  
W. Voit ◽  
K. V. Rao ◽  
W. Zapka
Keyword(s):  
Focal Length ◽  
Direct Write ◽  
Grid Pattern ◽  
Uv Curable ◽  
Carrier Fluid ◽  
On Demand ◽  
Drop On Demand ◽  
High Throughput Method ◽  
Planar Convex ◽  
Placement Accuracy

ABSTRACTWe demonstrate drop-on-demand inkjet printing technique to be a high throughput method for the patterned deposition of UV-curable epoxy materials. Different multi-nozzle printheads have been used to produce epoxy droplets with controlled volume in the range from 15 to 180 pl, and to apply the droplets with high placement accuracy. For a large dot grid pattern, which was printed by addressing 126 individual ink channels, standard deviations of σx = 2.3 μm and σy = 2.6 μm have been achieved for the error in dot placement. The deposited epoxy dots were found to form planar convex lenses with a focal length of 142 μm. In addition, we have successfully printed magnetic nanoparticles in a carrier fluid with the drop-on-demand printheads, as a step towards the production of composites.

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

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.

PERFORMANCE OF MICRO-INJECTOR WITH INNER BLOCK FOR DROP ON DEMAND APPLICATIONS

2010 ◽  
Vol 24 (13) ◽  
pp. 1373-1376
Author(s):  
MUH-RONG WANG ◽  
TZONG-SHYNG LEU ◽  
YI-JUN SHEN ◽  
WEI-LUNG WENG
Keyword(s):  
Piezoelectric Actuator ◽  
Driving Voltage ◽  
Driving Frequency ◽  
On Demand ◽  
Micro Nozzle ◽  
Drop On Demand ◽  
Flow Through ◽  
The One ◽  
Instability Energy ◽  
Better Than

This paper investigates the characteristics of a piezoelectric micro-injector for drop-on-demand (DOD) applications. The micro-injector is designed with an inner block inside the chamber to enhance the instability energy for the production of mono-size droplet. The micro-nozzle was fabricated by MEMS processes. The upper chip is a silicon chip with two holes as the inlet and outlet of the liquid matter. A diaphragm is mounted on the center of the upper chip. The lower chip has an orifice of 50µm in diameter. The flow through the chamber is used to promote the refilling mechanism for droplet generation. A piezoelectric actuator operated in push mode (D33) was mounted on the upper chip to drive the liquid through the nozzle. An inner block is designed on the inner side of the upper chip. Results show that the micro-injector with inner block could generate mono-size droplet under the driving voltage ranging from 62.5 to 150 volt at frequency of 3.2 kHz. The droplets size was 60µm with velocity ranging from 3.3 to 4.7 m/s which is higher than the case without inner block. As a comparison, the injection of the micro-injector without inner block needs a much higher driving voltage of 112.5 volt at driving frequency of 9.7kHz. It is concluded that the micro-injector with the inner block performs better than the one without the inner block.

scholarly journals Microstructural Characterization of Pure Tin Produced by the Drop-on-Demand Technique of Liquid Metal Jetting

2019 ◽  
Vol 50 (9) ◽  
pp. 4000-4005 ◽  
Author(s):  
Yaakov Idell ◽  
Nicholas Watkins ◽  
Andrew Pascall ◽  
Jason Jeffries ◽  
Kerri Blobaum
Keyword(s):  
Liquid Metal ◽  
Microstructural Characterization ◽  
On Demand ◽  
Drop On Demand

A Pneumatic Drop-on-Demand Printing System With an Extended Printable Liquid Range

2015 ◽  
Vol 24 (4) ◽  
pp. 768-770 ◽  
Author(s):  
In Ho Choi ◽  
Young Kwon Kim ◽  
Sangmin Lee ◽  
Seung Hee Lee ◽  
Joonwon Kim
Keyword(s):  
On Demand ◽  
Drop On Demand ◽  
Printing System

Formulation of a ceramic ink for a wide-array drop-on-demand ink-jet printer

2003 ◽  
Vol 29 (8) ◽  
pp. 887-892 ◽  
Author(s):  
X. Zhao ◽  
J.R.G. Evans ◽  
M.J. Edirisinghe ◽  
J.H. Song
Keyword(s):  
On Demand ◽  
Drop On Demand ◽  
Ink Jet

An Unequal-Sized Unidirectional Loop Layout Design Problem Considering Empty Vehicle Trip

2010 ◽  
Vol 37-38 ◽  
pp. 116-121
Author(s):  
Yu Lan Li ◽  
Bo Li ◽  
Su Jun Luo
Keyword(s):  
Material Handling ◽  
Design Principle ◽  
Facility Layout ◽  
Original Model ◽  
Layout Problem ◽  
Proposed Model ◽  
Loop Layout ◽  
Material Handling Costs ◽  
Loop Layout Problem ◽  
Better Than

In the facility layout decisions, the previous general design principle is to minimize material handling costs, and the objective of these old models only considers the costs of loaded trip, without regard to empty vehicle trip costs, which do not meet the actual demand. In this paper, the unequal-sized unidirectional loop layout problem is analyzed, and the model of facility layout is improved. The objective of the new model is to minimize the total loaded and empty vehicle trip costs. To solve this model, a heuristic algorithm based on partheno-genetic algorithms is designed. Finally, an unequal-sized unidirectional loop layout problem including 12 devices is simulated. Comparison shows that the result obtained using the proposed model is 20.4% better than that obtained using the original model.

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