Use Case: Acoustic condition monitoring of milling tools for early wear detection and service life optimization

Your challenge

In industrial manufacturing, worn or damaged milling tools often cause quality defects, increased scrap, and unplanned machine downtime. To ensure consistent product quality, tools are traditionally replaced after fixed maintenance intervals – often before a critical wear condition is actually reached.

Conversely, this time-based maintenance strategy involves the opposite risk: even when maintenance intervals are followed, tools may fail unexpectedly early. Late detection of wear or damage can lead to sudden tool breakage, production interruptions, and, in the worst case, consequential damage to workpieces or machines. This results in quality losses and significant additional costs, placing a double burden on production processes.

Your benefit

With the help of acoustic sensors and AI, milling tools are continuously monitored throughout the entire machining process. The analysis of airborne sound using our specialized acoustic AI enables reliable early detection of wear conditions and supports tool replacement exactly when it is technically required.

As a result, available tool life is fully utilized, spare part consumption is reduced, and tool costs are lowered in the long term. At the same time, consistently high product quality is ensured, unplanned downtime is avoided and planned production interruptions can be used efficiently.

Extras

We are happy to carry out non-binding trial measurements at your production site to provide an initial assessment of the application potential.