Nonlinear Waveform Optimization for Enhanced Ink Droplet Formation in Material Jetting

Micromachines, Journal Year: 2025, Volume and Issue: 16(4), P. 445 - 445

Published: April 9, 2025

Material jetting, as a critical additive manufacturing technology, relies on precise control of the driving waveform to achieve high-quality droplet formation. During ejection process, pressure fluctuation at nozzle outlet plays significant role in Traditional experimental methods for optimizing often struggle address complex nonlinearities inherent jetting process. In this study, numerical simulation model process is established elucidate influence mechanism oscillations A novel optimization method combining Convolutional Neural Networks (CNNs) and Particle Swarm Optimization (PSO) proposed, targeting suppression residual achieving desired fluctuation. The leverages nonlinear regression obtain optimal design. Simulation results demonstrate that optimized effectively suppresses oscillations, significantly improves formation quality, reduces convergence time by approximately 32.19%. findings quality stability.

Language: Английский

Reinforcement Learning-Based Dynamic Optimization of Driving Waveforms for Inkjet Printing of Viscoelastic Fluids

Langmuir, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

In digital printing, the design and optimization of a driving waveform for piezoelectric printheads are critical precise patterning functional materials. This study introduces an approach using deep reinforcement learning (DRL) algorithm to dynamically control inks, which vary in properties with environmental conditions. We developed prediction model multilayer perceptron that accurately forecasts drop velocity jetting morphology based on ink's rheological parameters. Integrating this into DRL framework, we achieved over waveform, attaining target 3 ms-1 quantum dot ink within 20 steps. Further, implemented trained agent drop-watching system, enabling real-time adjustment maintain optimal despite changes due temperature variations. Our results demonstrate significant potential machine improving precision adaptability industrial inkjet printing processes.

Language: Английский

Strategic Direct Printing for High‐Performance and Uniform Organic Thin‐Film Transistor Arrays

Advanced Materials Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Abstract The development of high‐performance, uniform organic thin‐film transistor (TFT) arrays is crucial for next‐generation flexible electronics. Here, a strategic direct‐printing approach combined with optimized printing conditions presented to achieve highly and scalable printed TFT arrays. Inkjet‐printed silver nanoparticle (AgNP) electrodes are through rheological characterization, ensuring precise deposition using 2.4 pL cartridge tailored drop spacing platen temperature superior line stability. hydrophobic bank patterning strategy precisely controlled the channel dimensions, facilitating reproducible semiconductor deposition. Additionally, nanosecond pulsed laser‐assisted via‐hole process implemented, enabling reliable interconnections between top‐gate source/drain via inkjet‐printed AgNP ink. As result, 12 × array high electrical performances successfully demonstrated, achieving saturation mobility 0.9 cm 2 ·V − ¹·s ¹ relative standard deviation 14.4%. proposed fabrication can offer scalable, reproducible, high‐performance solution electronics, including display backplanes sensor

Language: Английский