Presentation + Paper
18 April 2022 Detecting thermal crack growth on a large additive manufactured structure using acoustic emission
Author Affiliations +
Abstract
Large format additive manufacturing (LFAM) proved to have a great potential to become an adjacent technology to traditional manufacturing methods. One of the sectors LFAM is targeting is rapid tool/mold development for composites. This includes large mold structures used for high-temperature molding techniques (in-oven or autoclave). Although, these large printed structures (reaching hundreds of pounds) develop thermal-residual stress during cool-down and can eventually crack, turning the structure into waste. Acoustic emission (AE), a passive non-intrusive global nondestructive evaluation (NDE) technique, was used to monitor crack growth and can provide the right tools that can be used for feedback loop for corrective action. This research performs thermal testing on a large AM mold with preexisting cracks, in an attempt to monitor crack growth using AE. AE was able to detect, identify and locate the crack source by means of acoustic features, waveform characteristics, spectrum analysis, and difference in arrival times.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ryan Spencer, Miguel González Núñez, Hossain Saboonchi, Valery Godinez-Azcuaga, Uday Vaidya, Vlastimil Kunc, and Ahmed Arabi Hassen "Detecting thermal crack growth on a large additive manufactured structure using acoustic emission", Proc. SPIE 12047, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI, 120470W (18 April 2022); https://doi.org/10.1117/12.2615094
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KEYWORDS
Additive manufacturing

Amplitude modulation

Sensors

Nondestructive evaluation

Composites

Acoustic emission

Fourier transforms

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