Dynamic effect of surface contact angle on liquid transfer in a low speed printing process

Bai, Sang-Eun; Shim, Jaesool; Lee, Cheong-Hwan; Bai, Cheolho; Shin, Ki-Yeol

doi:10.7567/jjap.53.05hc05

Cited by 11 publications

(5 citation statements)

References 24 publications

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“…The difference between predictions and experimental values can be explained by the error in contact angles used between the constructed models and the real liquid bridge. In SE and theoretical models, the contact angles are set to a constant, while the contact angles are varied with the stretching process of the liquid bridge [40]. Additionally, the results of SE solutions are consistent well with theoretical solutions, as demonstrated in reference [41].…”

Section: Comparison Of Ga-ann Gann Simulation and Theoretical Solutionssupporting

confidence: 63%

A Predictive Model of Capillary Forces and Contact Diameters between Two Plates Based on Artificial Neural Network

Huang

Fan

et al. 2023

Micromachines

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Many efforts have been devoted to the forecasting of the capillary force generated by capillary adsorption between solids, which is fundamental and essential in the fields of micro-object manipulation and particle wetting. In this paper, an artificial neural network (ANN) model optimized by a genetic algorithm (GA-ANN) was proposed to predict the capillary force and contact diameter of the liquid bridge between two plates. The mean square error (MSE) and correlation coefficient (R2) were employed to evaluate the prediction accuracy of the GA-ANN model, theoretical solution method of the Young–Laplace equation and simulation approach based on the minimum energy method. The results showed that the values of MSE of capillary force and contact diameter using GA-ANN were 10.3 and 0.0001, respectively. The values of R2 were 0.9989 and 0.9977 for capillary force and contact diameter in regression analysis, respectively, demonstrating the accuracy of the proposed predictive model. The sensitivity analysis was conducted to investigate the influence of input parameters, including liquid volume and separation distance, on the capillary force and contact diameter. The liquid volume and separation distance played dominant roles in affecting the capillary force and contact diameter.

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Section: Comparison Of Ga-ann Gann Simulation and Theoretical Solutionssupporting

confidence: 63%

A Predictive Model of Capillary Forces and Contact Diameters between Two Plates Based on Artificial Neural Network

Huang

Fan

et al. 2023

Micromachines

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“…In particular, the process is defined by the speed U a at which the AFM probe approaches the substrate, the force value that signals the AFM to stop approaching, the dwell time t d for which the probe is held in contact, and the retraction speed U . Taking inspiration from prior work on macroscale liquid transfer, we hypothesized that U is the most important property in determining the outcome of liquid patterning. − Thus, we utilize U a = 1 μm s –1 to ensure that the cantilever was moving slowly enough that the 300 nN attractive force setpoint would be triggered when the liquid comes into contact with the surface and utilize t d = 1 s to allow the capillary bridge equilibrate prior to retraction.…”

Section: Resultsmentioning

confidence: 99%

Closed-Loop Nanopatterning of Liquids with Dip-Pen Nanolithography

Saygin

Andersson

et al. 2021

ACS Appl. Mater. Interfaces

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The ability to reliably manipulate small quantities of liquids is the backbone of high-throughput chemistry, but the continual drive for miniaturization necessitates creativity in how nanoscale samples of liquids are handled. Here, we describe a closed-loop method for patterning liquid samples on pL to sub-fL scales using scanning probe lithography. Specifically, we employ tipless scanning probes and identify liquid properties that enable probe−sample transport that is readily tuned using probe withdrawal speed. Subsequently, we introduce a novel twoharmonic inertial sensing scheme for tracking the mass of liquid on the probe. Finally, this is combined with a fluid mechanicsbased iterative control scheme that selects printing conditions to meet a target feature mass to enable closed-loop patterning with better than 1% accuracy and ∼4% precision in terms of mass. Taken together, these advances address a pervasive issue in scanning probe lithography, namely, real-time closed-loop control over patterning, and position scanning probe lithography of liquids as a candidate for the robust nanoscale manipulation of liquids for advanced high-throughput chemistry.

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“…The insertion of this silicone-based offset process enables the generation of finer patterns because silicone tends to absorb the surrounding liquid depending on its chemical nature [6], and thus solvents contained in printed ink are eliminated promptly so that the spreading of pattern contact lines can be avoided by rapid consolidation [7]. Other fine-pattern compatible techniques expected to be applied for printed electronics include gravure offset printing [8,9] and microcontact printing (μCP) [10][11][12][13][14][15][16] which can also be regarded as amended, siliconeutilizing versions of direct gravure or intaglio [17,18], and flexographic printing [19,20]. Therefore, an understanding of the behaviour of silicone materials, particularly during the printing process, is of great importance to accomplish highresolution patterning.…”

Section: Introductionmentioning

confidence: 99%

Microcontact patterning of conductive silver lines by contact inking and its layer-transfer mechanisms

Kusaka¹,

Nomura²,

Fukuda³

et al. 2015

J. Micromech. Microeng.

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We developed a contact inking technique for microcontact printing aiming at the fabrication of conductive silver-nanoparticle (Ag NP) lines with rectangular cross section and constant layer thickness, irrespective of pattern size and shape. In the proposed process, Ag NP ink was first coated on a blanket and then inking was carried out by a contact with a microcontact stamp. The ink transferred onto the top of the stamp was finally settled on a workpiece by pressing to complete the printing process. To achieve robust inking to the stamp, the peel strengths between the Ag NP layer and the blankets and between the Ag NP layer and the stamp were investigated using poly (dimethylsiloxane) (PDMS) materials with different surface energies. Interestingly, it was revealed that the transferability of Ag NP from the blanket toward the stamp was not solely determined by the surface energy difference but also by the extent of solvent uptake by the PDMS blanket during inking. The solvent-containing PDMS significantly lowered its adhesion strength against adjacent ink layers and, as a consequence, the ink transfer was successfully achieved even if the ink passed from a higher to a lower energy surface. Furthermore, by the solvent-vapour annealing of contact-inked semi-dried patterns, arbitrarily iterated transfers between PDMS surfaces became possible. With the contact-inking process developed here, we demonstrate a finely defined printed structure of Ag NP conductive lines with widths of up to 1 μm.

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Dynamic effect of surface contact angle on liquid transfer in a low speed printing process

Cited by 11 publications

References 24 publications

A Predictive Model of Capillary Forces and Contact Diameters between Two Plates Based on Artificial Neural Network

A Predictive Model of Capillary Forces and Contact Diameters between Two Plates Based on Artificial Neural Network

Closed-Loop Nanopatterning of Liquids with Dip-Pen Nanolithography

Microcontact patterning of conductive silver lines by contact inking and its layer-transfer mechanisms

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