Fraunhofer IWU

Flexible condition monitoring and data-based service life prediction -Integration of data from additional sensors, control and drives -Monitoring of important machine assemblies by calculating State relevant characteristic values Level 1: Alarm if the limit is exceeded level 2: service life predictions using intelligent algorithms your benefit Energy: -Boost energy efficiency by up to 20 percent Flexibility: -Modular design allows easy adaptation to the respective machine specifics -Increased plant availability by up to 50 percent Time: -No downtime by preventing outages Cost: -Increase equipment life by 30 percent -Reduce maintenance costs by 10 to 15 percent

Modular I4. 0 - industrial IoT and smart production Linked factory: -digital models -Machine and process data -modular Scnittstellen Smart systems: -Adapter for stock machines -Networking of process chains Smart objects: -Auto-ID: identification and tracking -Real time localization -digital product memory Interaction: -mobile and portable devices -VR and AR -Assistance systems Data Science: -Big-data methods -Visual analysis -Machine learning Your benefits -Smart links between machines, control systems, applications and devices -Transparency and faster response times, errors or short-term plan changes -Increase of productivity by providing relevant information at the right place, for example for predictive maintenance

Power Skiving is a productive gear machining process with a specific cutting edge that combines the productivity of gear hobbing with the geometric flexibility of gear shaping. It is particularly suitable for internal toothing and for external toothed workpieces with interfering contours. At present, there is still little empirical knowledge available on the design of Power Skiving processes, as the process has only recently become available on the market. The design process can be supported by the use of a mathematical process model and user software. The process model for the SkiveAll software was developed at Fraunhofer IWU. It contains algorithms for the design of Power Skiving processes - from workpiece definition and kinematic design to the calculation of tool geometry and process analysis functions. The software has a modular structure; the central component is the design module.

Process and tool development - Software-supported technology design: Calculation software SkiveAll - Monitored, adaptive roller peeling process: Online process monitoring Continuous tool condition monitoring Preparation, visualisation, situational recommendations for action Intelligent process control Your benefit Flexibility - Adaptive monitored roller peeling process Accuracy: - target-oriented process parameters through software-supported technology design Time: - Reduced processing times and testing effort Cost: - Minimum proportional tool costs Translated with DeepL

Power Skiving is a productive gear machining process with a specific cutting edge that combines the productivity of gear hobbing with the geometric flexibility of gear shaping. It is particularly suitable for internal toothing and for external toothed workpieces with interfering contours. At present, there is still little empirical knowledge available on the design of Power Skiving processes, as the process has only recently become available on the market. The design process can be supported by the use of a mathematical process model and user software. The process model for the SkiveAll software was developed at Fraunhofer IWU. It contains algorithms for the design of Power Skiving processes - from workpiece definition and kinematic design to the calculation of tool geometry and process analysis functions. The software has a modular structure; the central component is the design module.

The deviation of the tool path during machining has so far been a major challenge for the user: it significantly influences the quality of the final workpiece, but is usually unknown. In order to avoid deviations, complex tests on the workpiece are therefore necessary, which can only be reacted to with a time delay. Scientists at Fraunhofer IWU have now developed a monitoring system that generates precise information about the real tool path in practically real time and thus enables corrections to be made during machining or even in the path planning process. The uneconomical testing effort can thus be reduced by a factor of 10 in individual applications. Translated with DeepL