ACOUSTICS FOR OPTIMIZING MACHINE TOOLS

Unmanned automated CNC machine tools such as lathes, milling machines, drills and sawmills are widely used in industry. The maintenance of components of CNC machines, and blades is not always simple, and such machines are also often maintained more than normal to ensure that they remain in good condition. Performing predictive maintenance may not be expensive, but unforeseen defects are still a possibility and repairing them and purchasing spare parts without planning increases costs and in extreme cases can lead to product delivery problems.

 

Acoustics and its benefits in monitoring machine tools

Traditional machine tools and CNC-controlled machine tools play an important role in the efficiency and overall production of the production process. The complex operating principle of CNC machines makes them challenging targets to predictively monitor using traditional methods. What is often missing, is the essential information as to whether it still makes sense to drive on the blade of the machine in question or either its condition begins to affect the efficiency and quality of the process? 

Acoustic-based condition monitoring is a unique and versatile system. It is suitable for monitoring the condition of many different types of machines, as information about deviations from different processes is obtained from the change in sound.

Acoustics can be used to control the condition of machine tools in many ways:

  • the machining process, e.g. improved quality of cutting/drilling

  • enhanced process speed

  • improvement in production line operational rate -> less unnecessary downtime

  • optimal blade replacement cycle/service time

  • real-time information -> reduce over-maintenance

 

How does acoustics work?

Acoustics are used to identify sound frequencies that indicate the need for maintenance and replacement of critical components of machine tools. Once the sound frequencies have been found, automatic alarms are set for them, so that the people responsible for the process are informed when, for example, the condition of the machining blade begins to affect performance and quality. Thanks to the two-way flow of information, important alarms can be created and modified remotely if necessary.