Ahmet Ö.
Corporate
- Thread Author
- #1
## Robot Energy Chain Monitoring Solution in Automotive Automation
The uninterrupted operation of industrial robots used in automotive production lines depends on reliable cable management systems. Igus has introduced the i.Sense TR.P sensor to detect tension and cable failures in triflex energy chain systems used in robot applications.
### Tension Monitoring and Early Fault Detection
The i.Sense TR.P sensor is designed to measure tensile forces in triflex® multi-axis energy chain systems. This system detects tension stress with a load cell while managing the power, data, and signal cables of the robot arm, and can initiate measures such as alarms or controlled shutdowns when predetermined limits are exceeded.
This technology aims to reduce the risk of mechanical failure in automated production environments, preventing unexpected robot downtimes. It is stated that robot downtimes in the automotive sector cost approximately 600 euros per second.
### Installation Support and Motion Pattern Analysis
The i.Sense TR.P sensor can also be used as a measurement tool during robot programming and cable installation. By detecting issues such as excessive bending, high tension, or pinching in robot movements, it allows for the optimization of motion patterns and cable routes at an early stage.
### Monitoring Cable Breakages - i.Sense TR.B
Igus also offers the i.Sense TR.B sensor to detect cable breakages in the energy chain. This sensor monitors changes in cable length and sends a signal directly to the PLC upon detecting an anomaly. This allows maintenance teams to intervene before potential failures escalate.
### Integrated Monitoring with Predictive Maintenance
The igus superwise service integrates data from i.Sense sensors with predictive maintenance processes. Sensor data facilitates maintenance planning, control, and coordination of part replacements.
This approach aims to reduce maintenance workload while extending equipment lifespan and is an indicator of the widespread adoption of digital condition monitoring and predictive maintenance in industrial automation.
