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CoroTurn® Plus

Sensor-equipped turning adaptors for real-time process insights

Use cutting data to detect deviations, compare processes, optimize run-in, and production quality.


User interface and cutting data management

The CoroTurn® Plus user interface supports both live monitoring and post-process analysis of cutting data. Cutting signals are recorded automatically during machining and stored as individual recordings, enabling comparison, anomaly detection and batch analysis.

This creates a consistent foundation for process understanding, optimization and quality control.


Core capabilities

New component run-in

Use cutting data to support a stable and controlled start when introducing new components or processes. This helps establish reliable cutting conditions before moving into full production.

Data comparison

Compare cutting data across runs and batches to understand differences in cutting behaviour. This supports evaluation of process changes and consistency over time.

Anomaly detection

Automatically identify deviations in cutting behaviour to support early awareness of potential issues. This helps focus attention on cuts that require further investigation.

Live analysis and comparison

Monitor cutting behaviour in real-time and compare current processes against expected performance. This supports faster response when deviations occur during machining.

Explore details

New component run-in
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Use cutting data to support stable and efficient run-in of new components or processes.

  • Detect cutting force spikes, chatter and vibration during run-in
  • Identify high-load cutting that can reduce insert life
  • Refine cutting parameters early to stabilize the process
Data comparison
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Compare cutting data across multiple runs to understand process behaviour and changes over time.

  • Analyze deviations in cutting forces, vibrations and timestamps
  • Visualize the impact of changes in cutting parameters
  • Compare small to large batch data
Anomaly detection
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Automatically detect deviations to support process refinement and troubleshooting.

  • Detect anomalies between cut files
  • Identify in-cut signals that are out of sequence
  • Enable or disable anomaly detection as needed
Reference process
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Create a reference process to standardize performance and support comparison.

  • Define reference limits for small and large batches
  • Compare existing processes with new methods
  • Detect anomalies during reference creation
  • Optimize processes using deeper cutting insights
Live analysis and comparison
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Compare current processes with a defined reference in real time.

  • Compare current process with a reference in live view
  • Get instant feedback if the process deviates
  • Audible alarms when out of limits
Batch quality control and traceability
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Use cutting data to ensure consistent quality across material batches.

  • Monitor cutting forces across batches
  • Red-flag material deviations for quality control
  • Store and document cutting data for traceability purposes
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