High‐Precision Drop‐on‐Demand Printing of Charged Droplets on Nonplanar Surfaces with Machine Learning
Direct printing methods are widely recognized as efficient techniques for manufacturing printed electronics. However, several challenges arise when printing on nonplanar surfaces, especially using the drop‐on‐demand (DoD) approach. These challenges include ink flow due to gravity, precise ink deposi...
Saved in:
Main Authors: | Shaheer Mohiuddin Khalil, Shahzaib Ali, Vu Dat Nguyen, Dae‐Hyun Cho, Doyoung Byun |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2025-01-01
|
Series: | Advanced Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1002/aisy.202400621 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Droplet Trajectory Movement Modeling Using a Drop-on-Demand Inkjet Printhead Simulations
by: Tim Tofan, et al.
Published: (2025-01-01) -
Rethinking gold(II) porphyrins: an inherent wave distortion
by: Ghosh, Abhik, et al.
Published: (2024-01-01) -
Estimating regional shared trailer demand in drop-and-pull transport
by: Mei Feng, et al.
Published: (2025-02-01) -
Bangkit: mengungkap resiliensi pada remaja drop out
by: Aura Fajar Kumalasari, et al.
Published: (2023-06-01) -
Oil drop face mask for sinus relief
by: Nur Hanisah Razali, et al.
Published: (2024-10-01)