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Process Data Collection & Processing for Utilisation of Machine Tool Potential
June 22, 2022 | 09:00 – 12:30 UTC+1
The event is co-organised by:
With a great support of:
About the Event
The improved utilisation of the potential of modern machine tools can be ensured by data collected during their operation.
The webinar is going to present opportunities in machine tool state monitoring and also monitoring of the cutting process.
The event is focused on the practical presentation of approaches and available tools that will be demonstrated in real operation use cases.
The registration is open until 20 June 2022.
The event is designed for
- Researchers and Experts in Computer Science, Automation and Data Optimisation
- Data Managers
- Innovation companies
- SMEs, Midcaps, Large Corporates
- Production Planners and Specialists
- Process & Technology Developers
- Technology Facilitators & System Integrators
- Master and PhD Students
Program
Wednesday, 22 June 2022
| 9:00-9:20 | Welcome & Introduction Petr Kolář, CTU |
| 9:20-9:50 | Low-frequency Machine Tool Monitoring: Industrial Example on SIDAS Platform Jiří Švéda, CTU Miroslav Dub, SIDAT |
| 9:50-10:10 | High-frequency Data Acquisition From Machine Tool Control System & Possible Applications Jiří Švéda, CTU Petr Kolář, CTU |
| 10:10-10:30 | Industrial Use Case: Tool Wear Monitoring in Drilling Štěpán Chládek, CTU |
| 10:30-10:45 | Coffee Break |
| 10:45-11:05 | Industrial Example in Grinding: Anomaly Detection Using KNIME Angelo Merlo, Erredue |
| 11:05-11:25 | Digital Twin for Postprocess Quality Control of Machining Albrecht Hänel, Fraunhofer IWU |
| 11:25-11:45 | Industrial Example: Symate Detact Application Martin Juhrisch, Symate |
| 11:45-12:00 | Summary & Wrap-up Petr Kolář, CTU |
Registration
The event will be held online via MS Teams. The link will be sent to the participants that register through following form. Please register before 20 June 2022:
Contact
If you have any questions to the program or your registration, please do not hesitate to contact Eva Doležalová at eva.dolezalova@cvut.cz.