Sandvik Eliminates the "Blind Spot" in Tool Engagement

Sensor-based Machining Sandvik Eliminates the "Blind Spot" in Tool Engagement

2026-05-29 Source: Sandvik Coromant | Translated by AI 2 min Reading Time

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The Swedish machining tool specialist Sandvik Coromant makes metalworking both observable and controllable through sensors ...

Those dedicated to metal machining and who truly need or want to automate the process cannot, according to Sandvik Coromant, avoid machining tools equipped with sensors. Here, the Swedes explain why this is the case ...(Image: Sandvik Coromant) — Those dedicated to metal machining and who truly need or want to automate the process cannot, according to Sandvik Coromant, avoid machining tools equipped with sensors. Here, the Swedes explain why this is the case ...
(Image: Sandvik Coromant)

In the fields of robotics and connected analytics, industrial automation has made rapid progress, as noted by Sandvik Coromant. However, there has been a "blind spot" in the area of machining. This refers to the moment when the cutting tool makes contact with the workpiece. Despite companies automating monitoring, networking machines, and installing dashboards, this moment often still relies on the operator's intuition or post-processing inspection. For this reason, the Swedes have devised a solution to shed light on this unknown. The following explains why sensory tools are the next step in automation...

Fast Programs And Robots Are No Longer Enough

The expectations for so-called "smart" manufacturing are known to be high. According to the Deloitte "2025 Smart Manufacturing and Operations Survey," 92 percent of the surveyed companies believe that this type of manufacturing will be the key factor to remain competitive in the next three years. The modern machining process ultimately has a positive impact on productivity and capacity. However, simply running faster programs or installing robots around a machine is not sufficient if the machining process itself continues to rely on intuition or overly conservative parameters. The prerequisite for true automation is, therefore, the real-time recognition of what actually happens during the tool's engagement with the workpiece, in order to take countermeasures if necessary before damage occurs and downtime escalates.

But with cutting tools, adapters, or holders equipped with built-in or attached sensors, the situation looks quite different, according to Sandvik Coromant. These systems capture key parameters of the machining process during operation. For example, the system can detect cutting forces and vibrations, identify surface chatter at the tool tip, and transmit this information in real-time to an operator interface or the machine control system. Anomalies can be quickly identified, and appropriate corrective actions can be taken. This, they note, may involve a brief machining interruption, an adjustment of parameters, or a tool change. The crucial point, however, is that through reproducible interventions within the machining process—meaning workflows that consistently deliver the same reliable results when repeated—continuity across all shifts can be ensured.

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