Compact Ejectors X-Pump SXPi / SXMPi With IO-Link Class A
- Suction rate up to 220 l/min
- Max. vacuum: 85 %
- Main body made of plastics
Hiển thị danh mục
Automotive Industry
Scenario
Application
- Tooling in a press line for the production of car body panels in the automotive industry
Task
- Transfer of components between individual presses
- Automated handling with minimal cycle times
Solution
The Schmalz compact ejector SXMPi with intelligent energy and process control has a very high suction rate of up to 220 l/min and a power blow-off function for minimal cycle times. The ejector can communicate with all field-bus systems via the IO-Link interface. The SXMPi records, analyzes and interprets all process data, including:
- Energy monitoring function to monitor energy consumption
- Condition monitoring function to increase system availability
- Predictive maintenance function
Customer Benefits
| Function | Compact ejector SXMPi |
Conventional vacuum generators without IO-Link |
| Air saving function | ✓ | Some |
| Power blow-off function for minimal cycle times | ✓ | Some |
| IO-Link interface - bidirectional communication in field-bus systems | ✓ | - |
| Optimization of process parameters during operation | ✓ | - |
| Condition monitoring | ✓ | - |
| Monitoring of process parameters that influence function (leak tightness / operating pressure) | ✓ | - |
| Monitoring and recording of energy consumption | ✓ | - |
| Measurement of flow resistance and leak tightness in the gripping system | ✓ | - |
| Leakage detection | ✓ | - |
| Monitoring of contamination levels | ✓ | - |
Potential Savings for a Press Line in the Automotive Industry
The user can initiate scheduled predictive maintenance even before the system ceases operation. The SXMPi continuously monitors the tooling status, detects subtle changes or imminent malfunctions and reports them to the system's controller. Just by reducing downtime by a minute per day, yearly savings of up to EUR 300,000 can be achieved in the above scenario. The actual savings will vary according to the particular cost of downtime in the system.