CRC 1153 – Tailored Forming – B5: Machine technologies for the productive machining of hybrid components
| E-Mail: | kowalke@ifw.uni-hannover.de |
| Team: | Dennis Kowalke |
| Year: | 2023 |
| Funding: | Deutsche Forschungsgemeinschaft - DFG |
| Duration: | 07/2023 - 06/2027 |
The goal of Collaborative Research Center 1153 “Process Chain for the Production of High-Performance Hybrid Components through Tailored Forming” is to realize novel process chains for the production of load-adapted hybrid solid components using joined semi-finished products. This makes it possible to manufacture components that can meet the required specifications of the various structural and functional areas in the component much better than current components made of monomaterials. Subproject B05 focuses on researching methods for process monitoring and quality control of multi-material components.
Objectives
Subproject B05 investigates methods for ensuring process capability and process reliability in the machining of hybrid components that are influenced by manufacturing variances of subsequent processes. The goal is to develop a quality control system that takes manufacturing variances from the subsequent processes into account and adapts the process parameters for machining to the respective component and its individual manufacturing deviations.
Benefits
- Increased process reliability through process monitoring
- Prediction of component quality using machine learning models
- Control of component quality
Approach
Subproject B05 investigates methods for ensuring process capability and process reliability in the machining of hybrid components that are influenced by manufacturing variances in subsequent processes. Therefore, process information is linked across manufacturing processes and methods are investigated that detect component-specific manufacturing variances. The influence of manufacturing variances on the resulting component quality is investigated, and a quality prediction model is developed using machine learning approaches. In combination with a process control, this enables the process parameters to be adapted to the manufacturing variances, thus ensuring the quality of each component.
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