Project Details
Projekt
Integrated Sensors for Intelligent Large-Size Bearings (ISiG)
Applicants
Dr.-Ing. Florian Pape; Professor Dr.-Ing. Gerhard Poll; Professor Dr.-Ing. Marc Christopher Wurz
Subject Area
Engineering Design, Machine Elements, Product Development
Term
since 2021
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 466778958
In the proposed research project, the control of structural elements subjected to rolling loads is to be improved by integrating sensors. Optimized operating conditions (such as oil flow or relubrication, bearing speeds, bearing load) can extend the service life and reduce friction losses. The overall objective of the planned project is to create a fundamental understanding of the interaction of the information flow from the machine element rolling bearing to the integration into a condition monitoring system. In this project, condition monitoring of tribologically loaded machine elements and in particular their surfaces is achieved by the application of component-integrated sensors. In addition to higher sensitivity to strain, these sensors are also characterized by higher mechanical load capacity and long-term stability. In this project, the application potential of the novel sensor technology is to be systematically researched in areas subject to high tribological stress. For this purpose, it is necessary to place a customized application concept for sensors of different types, especially temperature and strain sensors, at relevant areas of operation and to record critical operating conditions and to record measurement data at the starting point of the damage and thus to detect damage at an early stage. Since such loads can lead to surface damage to individual sensors, the concept must have resilience to sensor failure. For this purpose, a cooperative decentralized data pre-processing is used, which can interpolate missing signals from the sum of all measurement data. For demonstration purposes of the overall system, real components will be functionalized and examined in special load cycles. A controlled system between the data evaluation and the test rig control system will be used to maintain the actual load on the bearing within the specified limits. In later real applications, critical load conditions are to be minimized in this way. With regard to a fundamental gain in knowledge, it is expected that the sensor-based validation of FEM-based models in real applications can improve the quality of the modeling. In relation to the application-oriented program of the SPP, real components will first be functionalized on laboratory scale and thus a validation of the novel approach on a system level will be carried out. These approaches are to be transferred to large-size bearings in the second funding phase.
DFG Programme
Priority Programmes
