CFD-based numerical modeling to predict the dimensions of printed droplets in electrohydrodynamic inkjet printing

Jiang, Liangkui; Li, Yu; Premaratne, Pavithra; Zhang, Zhan; Qin, Hantang

doi:10.1016/j.jmapro.2021.04.003

Cited by 31 publications

(11 citation statements)

References 31 publications

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“…27 In particular, it should be noted that after several times of significant volume fluid loss, the cone's inflow and withdrawal flow rates began to reach a balance. 28 At this time, the third stage was reached; a continuous jet could be stably formed, corresponding to in Figure 4(e).…”

Section: Jet Formation Processmentioning

confidence: 89%

Simulation and experimental study of Taylor cone and jet evolution process parameters in electrohydrodynamics

Zheng

Newton

et al. 2022

Textile Research Journal

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In melt electrospinning, accurate control of jet evolution and Taylor cone process parameters helps to control the final fiber properties. High-speed photography was employed to observe the jet's formation process and the Taylor cone's morphology. A multi-physics model of nonisothermal heat transfer was used to predict the fluid flow direction and velocity change. In addition, we investigated the relationships between the process parameters of the Taylor cone and the diameter of melt electrospun fiber. The results show an excellent linear relationship between the process parameters (cone angle, curvature, and Taylor cone height) and fiber diameter. According to the simulation results, the axial fluid flow keeps the maximum and accelerates continuously until the collector captures it. In addition, with the increase of voltage, the fiber strength is lower, and the crystallinity is improved. This work analyzes diameter and process parameters and offers a fresh perspective on electrostatic-fluid interaction and a method to forecast fiber diameter.

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Section: Jet Formation Processmentioning

confidence: 89%

Simulation and experimental study of Taylor cone and jet evolution process parameters in electrohydrodynamics

Zheng

Newton

et al. 2022

Textile Research Journal

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“…To help expedite this process, modelling techniques have recently been incorporated to simulate the EHD process [15][16][17][18]. Such simulations help to reduce the exhaustive trial-and-error approach to obtaining data whilst minimising material consumption.…”

Section: Ambient/environmental Parametersmentioning

confidence: 99%

“…For producing starch fibres, the ANN modelling elucidated an inverse relationship between fibre diameter and both spinning distance (5-8 cm) and voltage (6-10 kV), whereas a proportional relationship between starch concentration and fibre diameter was observed (10-15 w/v%) [129]. For PVP, increasing the polymer concentration (8-20 wt%) or voltage (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23) was found to increase fibre diameter (10-20 cm), whereas increasing the spinning distance was found to decrease fibre diameter [135]. The analysis was more complicated for electrospinning nylon fibres [136].…”

Section: Figure 5 Ann Is a Powerful Modelling Technique In Ehd (A(i))mentioning

confidence: 99%

Machine learning to empower electrohydrodynamic processing

Wang

Elbadawi

Tsilova

et al. 2022

Materials Science and Engineering: C

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“…Huang et al 14 analyzed the effects of metallic nanoparticle sizes in the ink formulation through droplet impact behaviors and determined that this approach could be used to optimize ink formulation. Jiang et al 15 proposed a computational fluid dynamics model to investigate the mechanism of the printing process; the model could guide the quick determination of operation parameters for the desired printing resolution when given a new ink. Cao et al 16 controlled the droplet volume deviation within 5% through waveform adjustment according to the droplet observation results from a nozzle-array inkjet printing system and used this printing system to print an area of 40 × 40 mm OLEDs with high uniformity.…”

Section: Introductionmentioning

confidence: 99%

A high-adaptability nozzle-array printing system based on a set covering printing planning model for printed display manufacturing

Wang

Chen

Yin

et al. 2023

Sci Rep

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Inkjet printing technology is expected to enhance printed display mass production technology in the future. Nozzle-array printheads form the basis for printed display mass production applications. However, jet instability caused by air bubble entrapment and nozzle wettability changes during the printing process is a major challenge in the application of this technology. To adapt to possible nozzle abnormalities, a high-adaptability nozzle-array printing system based on a set covering printing planning (SCPP) model for printed display manufacturing is designed in this study. The study consists of two parts. First, a printing system based on multistep visual inspection and closed-loop feedback is proposed to accurately detect and screen abnormal nozzle positions. Notably, the inkjet printing system can identify nozzles with abnormal ejection characteristics and ensure that the remaining nozzles work accurately and stably. Then, an SCPP model is established for display pixel printing planning by using the remaining normal nozzles on the nozzle-array printhead. This model can output the most efficient printing path and nozzle printing action and can adapt to any pixel pattern, nozzle type, and abnormal nozzle distribution. The system and technology are highly adaptable and scalable for fabricating large-area printed display devices.

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CFD-based numerical modeling to predict the dimensions of printed droplets in electrohydrodynamic inkjet printing

Cited by 31 publications

References 31 publications

Simulation and experimental study of Taylor cone and jet evolution process parameters in electrohydrodynamics

Simulation and experimental study of Taylor cone and jet evolution process parameters in electrohydrodynamics

Machine learning to empower electrohydrodynamic processing

A high-adaptability nozzle-array printing system based on a set covering printing planning model for printed display manufacturing

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