Millisecond fluid pattern formation in the nip of a gravure printing machine

Schäfer, Julian; Roisman, Ilia V.; Sauer, Hans Martin; Dörsam, Edgar

doi:10.1016/j.colsurfa.2019.04.085

Cited by 10 publications

(10 citation statements)

References 10 publications

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“…4. For more details of the experimental setup see Scha ¨fer et al 19 Variety of observed patterns Scha ¨fer's high-speed video recordings revealed a remarkable variability of dynamic liquid bridge and wetting patterns, see Figs. 4 and 5.…”

Section: Experimental Setup With High-speed Cameramentioning

confidence: 99%

“…Novel insight was gained by the unique experiments of Scha ¨fer et al 19,20 who was able to prepare a large set of high-speed video recordings of the microscopic, highly dynamic liquid-air interface in the nip of a rapidly rotating gravure printing press. The parameter space of possible machine settings and printing cylinder gravure patterns was deliberately narrowed down to settings which appeared interesting with respect to pattern formation.…”

Section: Introductionmentioning

confidence: 99%

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Deep learning study of induced stochastic pattern formation in the gravure printing fluid splitting process

et al. 2022

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We use deep learning (DL) algorithms for the phenomenological classification of Saffman-Taylor-instability-driven spontaneous pattern formation at the liquid meniscus in the fluid splitting in a gravure printing press. The DL algorithms are applied to high-speed video recordings of the fluid splitting process between the rotating gravure cylinder and the co-moving planar target substrate. Depending on rotation velocity or printing velocity and gravure raster of the engraved printing cylinder, a variety of transient liquid wetting patterns, e.g., a raster of separate drops, viscous fingers, or more complex, branched liquid bridges appear in the printing nip. We discuss how these patterns are classified with DL methods, and how this could serve the identification of different hydrodynamic flow regimes in the nip, e.g., point or lamella splitting.

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Section: Experimental Setup With High-speed Cameramentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deep learning study of induced stochastic pattern formation in the gravure printing fluid splitting process

et al. 2022

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“…A recent study, however, has revealed a surprising effect of the cylinder radius on the hydrodynamics of cell emptying flows in the printing nip. [ 19 ] The key observation is that the characteristic hydrodynamic length scale defining the fluid flow is H ≈ ( R c d ) 1/2 , and significantly depends on the cylinder radius. This length scale is of the order of 1 mm, typically.…”

Section: Ink Dosing For Organic Semiconductor Layersmentioning

confidence: 99%

Leveling and Drying Dynamics of Printed Liquid Films of Organic Semiconductor Solutions in OLED/OPV Applications

Sauer

Braig

Dörsam

2020

Adv Materials Technologies

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Printing process development for fabrication of organic electronic devices is described, with focus on semiconductor layers for organic light‐emitting diodes and photovoltaic cells. This development is considerably more complex than for a graphical printing process. Key aspects are an adequate dosing and transfer of highly volatile inks, the reliable coalescence of the droplets deposited on the substrate to a closed liquid film, and the successful relaxation and leveling of the liquid–air interface in the solvent evaporation phase in the presence of Marangoni stresses and pattern formation instabilities. The conditions for successful implementation of a gravure or inkjet process, using steadily developing, new generations of polymer as well as small molecule semiconductors are, to a large extent, but not exclusively, originating from the molecular features of organic semiconductors and their printable solutions. In addition, recent developments in surface technology, and in the physics of thin‐film dynamics and spontaneous pattern formation contribute to a proper understanding of liquid layer dynamics in printed electronics. The role of ink formulation, Marangoni stresses related to concentration and temperature gradients, the effect of the disjoining pressure, and solvent evaporation are discussed.

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“…Especially in the field of food and drug packaging, water-based ink gravure printing has broad application prospects [5,6]. Gravure printing is a direct printing method, in which the ink is in direct contact with the substrate [7,8]. The principle of the gravure printing process is shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Shear-Thickening Liquid Transfer between U-Shaped Cell and Flat Plate

Dong

Xing

et al. 2021

Processes

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Based on the actual measurement of the shear-thickening properties of water-based inks, in order to improve the ink transfer rate, the PLIC (Piecewise Linear Interface Construction) interface tracking method and the VOF (Volume of Fluid) method are used to simulate the transfer process of the shear-thickening liquid between the U-shaped cell and the upwardly moving plate. The effects of substrate surface wettability, cell contact angle, and cell depth on liquid transfer were studied. The results showed that all can increase the liquid transfer rate, and the change of the cell contact angle also led to the difference in the breaking time of the liquid filament. In addition, the shallow plate effect was discovered in the study of cell depth. The shallow plate effect is a phenomenon by which the amount of liquid transferred and the liquid transfer rate are greatly improved when the depth of the cell decreases to a certain limit value. In addition, for the U-shaped cell, the optimization method combining the shallow printing plate effect and fillet can greatly improve the liquid transfer rate and solve the undesirable problems such as plate blocking. After optimization, a liquid transfer rate of about 85% can be achieved.

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Millisecond fluid pattern formation in the nip of a gravure printing machine

Cited by 10 publications

References 10 publications

Deep learning study of induced stochastic pattern formation in the gravure printing fluid splitting process

Deep learning study of induced stochastic pattern formation in the gravure printing fluid splitting process

Leveling and Drying Dynamics of Printed Liquid Films of Organic Semiconductor Solutions in OLED/OPV Applications

Simulation of Shear-Thickening Liquid Transfer between U-Shaped Cell and Flat Plate

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