A roller posture adjustment device with remote-center-of-motion for roll-to-roll printed electronics

Chen, Shasha; Chen, Weihai; Liu, Jingmeng; Chen, Wenjie

doi:10.1016/j.precisioneng.2018.11.012

Cited by 6 publications

(1 citation statement)

References 22 publications

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“…Roll-to-roll (R2R) is a large-scale PE manufacturing process that continuously prints patterns on a thin film. R2R is an additive and large-area process; thus, R2R is low-waste, and more efficient than conventional processes for electronic devices [4,5]. In recent, 3D PE presents great potentials to build complex and multi-functional structures for stretchable electronics as well as conventional electronics [6].…”

Section: Introductionmentioning

confidence: 99%

On-Machine Measurement for Surface Flatness of Transparent and Thin Film in Laser Ablation Process

et al. 2020

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In printed electronics, laser ablation is used to repair defective patterns on transparent, flexible, and thin films, using high-power lasers. The distance between the film surface and laser focus is sensitive to changes as the narrow focus depth of the lens is the range of tens of microns. However, a film fixed on a conductive vacuum chuck (CVC) is always curved, owing to chucking bending; thus, laser focusing must be locally performed before ablation. Therefore, this study proposes a non-contact measurement method for the surface flatness of a transparent and thin film, to compensate for laser defocusing in a large area. The surface flatness was obtained using camera-focus points on the porous surface of the CVC. The focus points were interpolated to achieve a smooth and continuous surface flatness for chucking bending. A laser distance sensor was used to verify the surface flatness from the proposed method. The surface flatness was used to inspect the printed patterns, and to perform laser ablation on the film. The proposed method is advantageous for large-area laser ablation and is expected to become indispensable for repairing machines in printed electronics.

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Section: Introductionmentioning

confidence: 99%