The development of the QCOALA laser processing system will mean that testing is carried out so that parts are not tested until breaking point. It will also provide a reliable, high-speed, low-cost and high-quality joining solution for electric car battery and thin-film photovoltaic cell interconnections. Through fully integrated process ICTs and statistical process control, the new system will facilitate in-line quality control, as well as a higher level of automation in manufacturing and thereby achieve higher yield and throughput for both of these high-in-demand applications. This project will help the consortium partners to increase their annual turnover to the order of between 15 and 25%, productivity between 50 and 100% and yield by 2 and 10%. The new laser processing system will be based on a pulsed platform, capable of laser pulses in the range of micro seconds to milli seconds and pulse energies of up to tens of joules able to generate both near infra-red and green wavelength through a dual-wavelength beam scanner. Real-time temporal pulse control will be developed to allow close-loop control of the monitored process. The fully-integrated system will produce continuous (i.e. not sample-based) inspection rates, with a â˜fingerprintâ™ of each laser weld captured in real time, and allow in-line process control when welding car battery and thin-film PV cell interconnections. QCOALA is focused on energy-efficient, environmentally-friendly and agile manufacturing, through the feedback of in-line information into the production line relating to monitoring and inspection, allowing for process control and continuous quality improvement, as well as waste reduction. Whereas the aim of the project is to produce smarter and more energy-efficient manufacturing, the applications addressed in the project are categorised in the green, â˜alternativeâ™ energy market.
|Number of participants:||10|
|Total budget - EC contribution:||3926091 Euro - 2627239 Euro|
|Call topic:||Smart Factories: ICT for agile and environmentally friendly manufacturing (FoF.ICT.2010.10.1)|
|Instrument:||Small or medium-scale focused research project INFSO (STREP)|
For some background information about the digital mapping framework, please see here.