Intelligent AutomationCopyright: WZL, RWTH Aachen
In combination with high speed computing more and more software components are integrated into the machinery and plant engineering in order to facilitate controlling, data processing and human-machine-interaction. This enables intelligent and resilient production systems which are able to effectively adapt to environmental changes. One approach is to transfer planning activities from the development phase to the control level.
The Department Automation and Control of Laboratory for Machine Tools and Production (WZL) of RWTH Aachen University provides expertise in drive technologies, sensor applications, motion control systems, interactive man-machine communication, virtual manufacturing systems, advanced PC-based control for automated manufacturing, applied robotics, and intelligent IT solutions for manufacturing plants. The technical demonstrator Smart Automation Lab puts theory into practice.
The Department Model-based Systems of RWTH Aachen University does research in the fields of Metrology Assisted Assembly. Instead of fixed steel-jigs, cooperating robots are used for the precise assembly of large components, in order to automatically measure and re-adjust positional deviations.
The Institut für Textiltechnik (ITA) of RWTH Aachen University deals with the manufacturing of textile fabrics, fibre-reinforced composites, medical textiles, biomaterials and smart textiles. The automatic production is addressed in diverse projects such as SpeedFactory and AutoHD.
Research topics of the Research Group Production Technology of ZLW/IMA & IFU of RWTH Aachen University the development of barrier-free user interfaces for web and automation systems, and the integration of intelligent controls in technical production systems.
The Research Group Precision Machines and Automation Technology of Fraunhofer Institute for Production Technology (IPT) develops customized measuring systems including latest sensor technologies and integrates these into existing machine systems, in order to monitor ultra-precision processes.