Machine Tool Fingerprint provides a way to control the status of machine tools with the following features:
· Embedded Intelligence: Post-processing of the recorded raw data allows obtaining KPIs directly related to Machine Tool component condition like backlash or friction.
· Simplicity: the operator only needs to launch the part program. Data monitoring, post-processing and upload to external servers is automated.
· Traceability: as a fast and automated procedure, its impact in the productivity is very limited, allowing frequent execution of the test and tight control of the KPI evolution.
· Adaptability: the system can be implemented in most machine tools as connectors to main CNC manufacturers are available.
Machine Tool Fingerprint can be adopted by both Machine tool builders and end-users.
Addressing target audiences and expressing needs
- Help in technical expertise
- Collaboration
Further pilot cases to implement the functionality and validation
- Public or private funding institutions
- Research and Technology Organisations
- Private Investors
R&D, Technology and Innovation aspects
Fingerprint functionality has been integrated and validated at lab level (TEKNIKER workshop machines) as well as several pilot lines in industrial environment under research projects. Further integration in different industrial applicatioons is required.
