Köttner, LarsLarsKöttnerMehnen, Jan PhilippJan PhilippMehnenRomanenko, DenysDenysRomanenkoBender, S.S.BenderHintze, WolfgangWolfgangHintze2020-11-302020-11-302020-09Congress of the German Academic Association for Production Technology (WGP 2020)http://hdl.handle.net/11420/8067The majority of aircraft rivet holes are drilled with semi-automatic and manually controlled, pneumatically driven machines as full automation is often unsuitable due to workspace restrictions. Lightweight materials of difficult machinability complicate drilling. This is particularly relevant when drilling stack materials, where the machining parameters are determined by the most difficult to machine material layer. To provide reliable rivet connections, drilling in multiple steps, use of minimum quantity lubrication as well as subsequent manual deburring and cleaning are indispensable. Newly developed electrically driven semi-automatic advanced drilling units (ADUs) enable intelligent process layouts and online condition monitoring by evaluating integrated sensor data. Additionally, process parameters can be adapted to suit each material in the stack.enProcess Monitoring Using Machine Learning for Semi-Automatic Drilling of Rivet Holes in the Aerospace IndustryConference Paper10.1007/978-3-662-62138-7_50Conference Paper