Acoustic Signals (AS) have been investigated as a way to monitor machines. In this work, close attention was paid to the size as well as the accuracy of the data for using a 32-element spherical microphone array to monitor end milling operations. By completing experiments varying standard milling parameters, mathematical models showing the change in AS for end milling with a single carbide cutting edge were determined statistically. It was found that this method of shop floor monitoring is useful and could be the future of real-time monitoring when implemented based on the findings regarding accuracy and size of the collected data.
All Science Journal Classification (ASJC) codes
- Mechanics of Materials
- Industrial and Manufacturing Engineering