TY - GEN
T1 - Detecting Thermal Crack Growth on a Large Additive Manufactured Structure using Acoustic Emission
AU - Spencer, Ryan
AU - Núñez, Miguel González
AU - Saboonchi, Hossain
AU - Godinez-Azcuaga, Valery
AU - Vaidya, Uday
AU - Kunc, Vlastimil
AU - Hassen, Ahmed Arabi
N1 - Publisher Copyright:
© 2022 SPIE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Acoustic Emission
KW - Large Format Additive Manufacturing
KW - Nondestructive Evaluation
UR - http://www.scopus.com/inward/record.url?scp=85132013002&partnerID=8YFLogxK
U2 - 10.1117/12.2615094
DO - 10.1117/12.2615094
M3 - Conference contribution
AN - SCOPUS:85132013002
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI
A2 - Wu, H. Felix
A2 - Gyekenyesi, Andrew L.
A2 - Shull, Peter J.
A2 - Yu, Tzuyang
PB - SPIE
T2 - Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI 2022
Y2 - 4 April 2022 through 10 April 2022
ER -