Simulation supported vibro-acoustic monitoring of additive manufacturing parts

This PhD is part of a project called “MUSIC” aiming to produce first-time right zero-defect parts through additive manufacturing. This project aims to develop monitoring solutions fusing complementary information from optical sensors, and structural and airborne acoustic emission sensors. Given the complexity of combining different monitoring data streams, the project will employ data-driven models as well as physics-based signal analysis. The focus of this PhD track is on the latter: the use of physics based vibro-acoustic signal analysis. Within this PhD track a suite of modelling strategies will be developed that enable: 1) Determining the optimal sensor locations, 2) Accounting for varying vibro-acoustic signal travel time in complex parts and as the build progresses to synchronize this signal with the existing monitoring tools, and 3) Deconvoluting the measured vibro-acoustic signal to account for diffraction, reflection, or other effects that are interfering with the original signal as it travels from its origin (the melt or defect) to the sensor.