TWI and three other partners in the Horizon 2020-funded OledSolar project held a successful webinar on 30 June 2021. The webinar, titled, ‘In-line Inspection of Optoelectronics Manufacturing,’ is now available to watch online on this link.
The virtual event presented the latest developments in the in-line inspection of thin-film and organic photovoltaic circuitry.
The presenters included VTT Technical Research Centre of Finland’s senior scientist, Dr Marja Vilkman, Dr Wulf Grählert, Group Leader of the Optical Inspection Technology Group at the Fraunhofer Institute for Material and Beam Technology (IWS), IRIS Research and Innovation Manager, Ioannis Kakogiannos, and from TWI, Senior Project Leader, Haitao Zheng.
On September 9th, 2021, OledSolar in cooperation with Coatema held a successful workshop „Impact of inline measurement and AI on European manufacturing of printed electronics“. Below you can find the recordings from this event as well as the agenda on this link.
This webinar presented a snapshot of the latest developments in the project. Specifically focusing on automated manufacturing, in-line monitoring, waste reduction and improved yield of the production of opto-electronic components.
OLEDSOLAR’s work between VTT and Coatema significantly improved the possibilities of high registration accuracy in roll-to-roll (R2R) processes. At VTT’s MAXI pilot line the project achieved 15-20 µm registration with OFFCODE software systems, mechanical improvements by Coatema, and substrate handling developments by DTF and VTT.
OLEDSOLAR’s work between TWI and VTT allows automated quality control for printed conducting patterns. It is possible to detect and locate defects in the printed patterns, enabling the operator to remove the parts which do not pass the quality criteria. This will lead to yield improvements, and enables recycling of the defected parts before they are processed further.
VTT has integrated a high-resolution and large-area camera to the pilot printing and coating line. The setup allows inline quality control and operates at the same speed as the printed electronics processes. VTT also developed algorithms to predict the sheet resistance from images. This speeds up the characterization of printed patterns significantly.
SAL has developed a low-cost Photoluminescence imaging system in combination with object matching approaches for cell detection to predict electrical performance parameters of thin-film solar cells based on Copper Indium Gallium Selenide (CIGS). SAL also developed prediction models for Raman spectroscopy data to estimate the composition of CIGS cells. Both methods can be used at different stages of CIGS processing: (i) at an early stage to identify low-quality products and (ii) after processing as cells might be shunted during grid deposition and scribing. Both methods significantly reduce the response time during production, saving waste products, time, and costs.