Bayesian inference of texture and elastic constants for additively manufactured cobalt-nickel components using Resonance Ultrasound Spectroscopy
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Jeffrey Rossin↗
Engineering topics
Samantha Daly
Publications and source records attributed to Samantha Daly.
Non-Destructive Determination of Single Crystal Elastic Constants in AM Alloys Using Resonant Ultrasound Spectroscopy
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Resonant Ultrasound Spectroscopy↗
Trustworthy Machine Learning for Damage Identification in Composites
A challenging opportunity in structural health monitoring of composite materials is using machine learning (ML) methods to classify acoustic emissions (AE) according to the damage mechanism that emitted the signal. Although a wide variety of ML frameworks have been developed, there is a distinct lack of ground truth datasets which has precluded any direct assessment of their accuracy. Here, we present a novel ground truth dataset gathered on simplified unidirectional SiC/SiC composite structures. Herein, AE is collected from minicomposites which are loaded to targeted percentages of the ultimate tensile stress. These minicomposites are then volumetrically imaged with XCT and individual damage events, along with the mechanism, are correlated to AE. We explore the signal features that allow for mechanism discrimination, along with the feasibility of both unsupervised and supervised frameworks for use in the online monitoring of composite structures.
Machine learning, acoustic emission, ceramic matri↗