Drops on Substrates

Jung, Sungjune; Hwang, Hyung Ju; Hong, Seok Hyun

doi:10.1002/9783527684724.ch8

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…(3) Overall, we favor a third option, which would result from fluid dynamics observed as droplets of Newtonian liquids impact wettable surfaces (illustrated in Figure b). − In one previous example of these dynamics, inkjet printing of 28 μm diethyl phalate droplets illustrated an initial fast kinematic phase (0–4 μs) in which the droplet dissipates kinetic energy by spreading to a flattened disc on the substrate, with a diameter 1.2–1.5× the initial droplet diameter, depending on impact speed (3–8 m/s). In the second phase (up to ∼50 μs), the droplet relaxes to form a spherical cap, without notable changes in the contact line.…”

Section: Resultsmentioning

confidence: 99%

Inkjet Printing of Nanoscale Functional Patterns on 2D Crystalline Materials and Transfer to Soft Materials

Arango,

Pintro,

Singh

et al. 2024

ACS Appl. Mater. Interfaces

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Nanometer-scale control over surface functionality is important in applications ranging from nanoscale electronics to regenerative medicine. However, approaches that provide precise control over surface chemistry at the nanometer scale are often challenging to use with higher throughput and in more heterogeneous environments (e.g., complex solutions, porous interfaces) common for many applications. Here, we demonstrate a scalable inkjet-based method to generate 1 nm-wide functional patterns on 2D materials such as graphite, which can then be transferred to soft materials such as hydrogels. We examine fluid dynamics associated with the inkjet printing process for lowviscosity amphiphile inks designed to maximize ordering with limited residue and show that microscale droplet fluid dynamics influence nanoscale molecular ordering. Additionally, we show that scalable patterns generated in this way can be transferred to hydrogel materials and used to create surface chemical patterns that induce adsorption of charged particles, with effects strong enough to overcome electrostatic repulsion between a charged hydrogel and a like-charged nanoparticle.

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Section: Resultsmentioning

confidence: 99%

Inkjet Printing of Nanoscale Functional Patterns on 2D Crystalline Materials and Transfer to Soft Materials

Arango,

Pintro,

Singh

et al. 2024

ACS Appl. Mater. Interfaces

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“…It forms an image through depositing nanoliter-scale ink droplets at a preset pixel location. Therefore, the spreading of nanoliter-scale droplets on the substrate directly determines the image quality of inkjet printing. − However, in our previous study, it was found that a nanoliter-scale ink droplet on cotton fabrics always spreads to a far longer distance along the fiber direction than other directions due to the special structure of the fabrics and the nature of the fiber . Thus, unlike on flat substrates, the droplet on fabric finally forms a line segment instead of a round dot.…”

Section: Introductionmentioning

confidence: 92%

Controlling the Spreading of Nanoliter-Scale Droplets on the Fibers of Fabrics for Enhancing Image Quality and Ink Utilization

Zhang

Fang

Chen

et al. 2021

ACS Appl. Mater. Interfaces

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Electronic and traditional textiles have been widely manufactured through inkjet printing. However, nanoliter-scale ink droplets tend to excessively spread along the fiber direction, which results in poor image quality and low ink utilization. Here, hydroxyethyl cellulose (HEC) and hydroxypropyl methyl cellulose (HPMC) were introduced to control the spreading of nanoliter-scale droplets on cotton fabrics. The results showed that both HEC and HPMC could reduce the spreading of nanoliter droplets along the fibers through increasing the hydrophobicity of the fabric. However, the effect of HPMC was much better than that of HEC due to its higher surface activity. The flow of nanoliter droplets along the fibers was well consistent with the Washburn function. After HPMC treatment, the depositing length of one droplet reduced from beyond 200 μm to about 50 μm. The imaging quality was greatly improved. In addition, the dye utilization increased by 33–78% due to the decrease in the diffusion of dye solution to the back of the fabric. This study is of great significance for improving the quality of inkjet printing and the utilization of depositing materials, particularly expensive materials.

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“…A major factor in the equations representing a fluid on a solid substrate is the contact angle, which depends on the surface tension between the liquid and the solid, as found from the Young equation [38].…”

Section: Physics Of Droplets In Inkjet Printingmentioning

confidence: 99%

Effect of Process Parameters on the Performance of Drop-On-Demand 3D Inkjet Printing: Geometrical-Based Modeling and Experimental Validation

et al. 2022

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As additive manufacturing has evolved, 3D inkjet printing (IJP) has become a promising alternative manufacturing method able to manufacture functional multi-material parts in a single process. However, issues with part quality in terms of dimensional errors and lack of precision still restrict its industrial and commercial applications. This study aims at improving the dimensional accuracy of 3D IJP parts by developing an optimization-oriented simulation tool of droplet behavior during the drop-on-demand 3D IJP process. The simulation approach takes into consideration the effect of droplet volume, droplet center-to-center distance, coverage percentage of jetted droplets, the contact angle of the ink on the solid substrate and coalescence the performance of overlapping droplets, in addition to the number of printed layers. Following the development of the simulation tool using MATLAB, its feasibility was experimentally validated and the results showed a good agreement with a maximum deviation of 2.25%. In addition, the simulated horizontal features are compared with the results of “Inkraster” software, which also illustrates droplet behavior, however, only in 2D. For vertical features, a dial gauge indicator is used to measure the sample height, and the validation results show that the simulation tool can predicate the height of the sample with an average error of 10.89% for a large droplet diameter and 8.09% for a small diameter. The simulation results were found to be in a good agreement with the dimensions of the printed parts. The developed tool was then used to elucidate the effect of resolution of processed TIFF image and droplet diameter on the dimensional accuracy of 3D IJP parts.

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Drops on Substrates

Cited by 5 publications

References 10 publications

Inkjet Printing of Nanoscale Functional Patterns on 2D Crystalline Materials and Transfer to Soft Materials

Inkjet Printing of Nanoscale Functional Patterns on 2D Crystalline Materials and Transfer to Soft Materials

Controlling the Spreading of Nanoliter-Scale Droplets on the Fibers of Fabrics for Enhancing Image Quality and Ink Utilization

Effect of Process Parameters on the Performance of Drop-On-Demand 3D Inkjet Printing: Geometrical-Based Modeling and Experimental Validation

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