Speaker
Mr
Milan Chlada
Description
Acoustic Emission (AE) is a crucial non-destructive testing method that captures ultrasonic stress waves in materials, aiding in the detection of fractures and wear. This study highlights AE's role in material integrity and predictive maintenance. Employing a specialized setup from the Institute of Thermomechanics of the Czech Academy of Sciences, we used various AE sensors and a USB oscilloscope to monitor emissions during steel plate drilling. Data was analyzed with machine learning to classify drill bit dullness, demonstrating AE's potential in industrial applications. This contribution presents the methodologies, setup, and implications of AE in enhancing material science practices.
Author
Mr
Milan Chlada