Zheng, Haitao and Zhou, Linghao and Marks, Ryan and Happonen, Tuomas and Kraft, Thomas M (2022) Defect Recognition of Roll-to-Roll Printed Conductors Using Dark Lock-in Thermography and Localized Segmentation. Applied Sciences, 12 (4). p. 2005. DOI https://doi.org/10.3390/app12042005
Zheng, Haitao and Zhou, Linghao and Marks, Ryan and Happonen, Tuomas and Kraft, Thomas M (2022) Defect Recognition of Roll-to-Roll Printed Conductors Using Dark Lock-in Thermography and Localized Segmentation. Applied Sciences, 12 (4). p. 2005. DOI https://doi.org/10.3390/app12042005
Zheng, Haitao and Zhou, Linghao and Marks, Ryan and Happonen, Tuomas and Kraft, Thomas M (2022) Defect Recognition of Roll-to-Roll Printed Conductors Using Dark Lock-in Thermography and Localized Segmentation. Applied Sciences, 12 (4). p. 2005. DOI https://doi.org/10.3390/app12042005
Abstract
The demand for flexible large area optoelectronic devices such as organic light-emitting diodes (OLEDs) and organic photovoltaics (OPVs) is growing. Roll-to-roll (R2R) printing enables cost-efficient industrial production of optoelectronic devices. The performance of electronic devices may significantly suffer from local electrical defects. The dark lock-in infrared thermography (DLIT) method is an effective non-destructive testing (NDT) tool to identify such defects as hot spots. In this study, a DLIT inspection system was applied to visualize the defects of R2R printed silver conductors on flexible plastic substrates. A two-stage automated defect recognition (ADR) methodology was proposed to detect and localize two types of typical electrical defects, which are caused by complete or partial breaks on the printed conductive wires, based on localized segmentation and thresholding methods.
Item Type: | Article |
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Uncontrolled Keywords: | automated defect recognition; roll-to-roll; printing; organic photovoltaic; thin film; non-destructive testing; dark lock-in thermography |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 20 Feb 2025 13:21 |
Last Modified: | 20 Feb 2025 13:21 |
URI: | http://repository.essex.ac.uk/id/eprint/40368 |
Available files
Filename: applsci-12-02005-v2.pdf
Licence: Creative Commons: Attribution 4.0