Multiple tapping method for non-destructive testing of defects in metal components

Non-destructive testing (NDT) of additively manufactured (AM) metal components typically relies on costly imaging or ultrasonic systems. We introduce a low-cost mechanical tapping device combined with a machine learning (ML)-based acoustic measurement workflow, and demonstrate its superiority as a measurement system compared to
standard fundamental frequency analysis approaches.