RoboSens
Project organisers: VDI/VDE Innovation + Technik GmbH
Development of process monitoring concepts using intelligent sensor technology and machine learning in 3D laser microstructuring with 6-axis robots and ultrashort laser pulses
Project partners:
• Robot Technology Components GmbH, Großostheim
• Aschaffenburg University of Applied Sciences – Applied Laser Technology and Photonics Working Group (AG alp), Aschaffenburg
The aim of the proposed project is to monitor the 3D laser microstructuring process with ultrashort laser pulses and a 6-axis robot using machine learning algorithms. To this end, the optical and acoustic process emissions during the machining process are to be recorded using suitable sensors and the data processed using machine learning to enable a comprehensive assessment of the process state. The artificial intelligence (AI) should be able to assess the current process state in terms of process progress and quality (focus position, structure depth, surface roughness and smoke residue) by analysing the data from the various sensor and image signals. The various sensor signals should also be used for predictive maintenance strategies through AI-based data analysis.
eXcorLab’s goal is to investigate and verify haemocompatibility with a view to medical technology applications. In addition, the filtration performance and protein adsorption of membranes (flat membranes and 3D hollow fibre membranes) are to be determined before and after micromachining.
To ensure that our tests meet the requirements of our customers, we have established a quality system that fulfils all the requirements of DIN EN ISO/IEC 17025:2018 and ensures the implementation of our quality policy. This makes us an accredited testing and research institute in the areas mentioned. Our accreditation is valid in around 46 countries worldwide (including the EU, the USA and Japan), as a mutual recognition agreement, known as the ILAC Arrangement, applies between the laboratory accreditation bodies of these countries.
