In many cases, the mold is operated by an injection molding service provider within the supply chain. Consequently, it is impossible for the mold owner or customer to track the quality of the parts in terms of the applied processing parameters. However, this is crucial to relate out-of-tolerance parts to the specific manufacturing conditions and consequently increase efficiency and quality in production.
The aim of the Cornet project SmarTool is to develop an autonomous sensor system for monitoring injection molding and stamping processes. The system consists of a tool-external component for recording and documenting production data, such as the actual processing parameters like tool temperature or the processing forces, but also for determining the number of processed parts and for geolocating the tool. In conjunction with a laser marking system for injection molding, it will be possible to clearly link the production data to each individual component. The necessary energy supply for the sensor system is to be generated by the respective process kinematics. The immediate technological added value is that the customer can view the production at any time and any place and compare the actual production conditions with the agreed framework conditions. In addition, the collected data for component tracking enables further optimization of the manufacturing processes as well as the creation of new business models for the tool manufacturer.
Consortium
- Fraunhofer IPK
- FQS-Forschungsgemeinschaft Qualität e.V.
- SENAI Innovation Institute for Manufacturing Systems, Joinville, Brasilien
- SENAI Innovation Institute for Embeddeded Systems, Florianópolis, Brasilien
- Project consortium of eleven Brazilian and five German companies from the automotive, tool and die, and medical technology sectors