Digital twin in use at Salvagnini
Automatic sheet metal bending machine
We have developed a digital twin for predictive maintenance. We can use it to monitor and calculate the remaining service life of machine components such as bearings, actuators and rotary clamps. This digital twin is based on simulation results and can calculate non-measurable variables such as the development of contact pressure in the bearings during production. By combining virtual sensors and live measurements, we can track the wear of different parts and calculate their remaining useful life.
Requirement
- Improved product quality
- Optimized machine design
- Accelerated commissioning cycles
- Error-free (optimized) operation
- Production with batch size 1
Solution
- Virtual prototype
- Adaptive production process
- Digital product development process
Technology (virtual prototype)
- Lightweight construction, optimized design and efficient drive concepts
- 80% energy saving
- Reduction in the number of hardware prototypes required
Operation (digital twin)
- Automatic detection of material properties (virtual sensor) Fully automatic batch size 1 production
- Automated condition assessment for machine components
Project partners
Dipl.-Ing., Dr. Markus Schörgenhumer, BSc
Business Area Manager Mechanics & Control
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