[Use case] Improved Robotic Welding Performance using moneo Real-Time Monitoring System

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[Use case] Improved Robotic Welding Performance using moneo Real-Time Monitoring System

A large manufacturer produces hundreds of parts for an industrial distributor of multiple vehicle types.

  • Throughout the plant, automated robotic welding systems are utilized. The motor supplying wire feed to the welding gun often wears.
  • Irregular wire feeding causes the wire to buckle and jam. This means unplanned stoppages and downtime of the welding cell, resulting in significant costs.
  • Today’s transducers used for controlling the welding motor current, provide no warning of over-draw or under-draw current, which is the underlying cause of jams and uneven wire feed.

The IFM moneo Real-Time Monitoring System monitors robotic weld feed in real-time, converts current transducer values to useful data and calculates savings. The system detects overload and underload conditions of the motor, indicates the current draw of the weld feed motor, and displays the transducers values as data, allowing to predict problematic wire feed. The software provides analysis and trending of performance. The moneo system is capable of saving permanent data recordings and database storage. The Integrated alarm management enables fast reaction to changing process parameters for current motor efficiency and performance.

IFM-Moneo-Dashboard

Read more about how moneo Real-Time Monitoring System improves robot welding performance in this case study by IFM 

 

 

 

 

Sponsored by IFM

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