Acoustic emission monitoring of crack propagation in additively manufactured and conventional titanium components
- Vrije Universiteit Brussel (VUB), Brussels (Belgium)
We report that additive manufacturing (AM) is a novel and innovative production technology that can produce complex and lightweight engineering products. In AM components, as in all engineering materials, fatigue is considered as one of the principle causes of unexpected failure. In order to detect, localise and characterise cracks in various material components and metals, acoustic emission (AE) is used as a non-destructive monitoring technique. One of the main advantages of AE is that it can be also used for dynamic damage characterisation and specifically for crack propagation monitoring. In this research, we use AE to monitor the fatigue crack growth behaviour of Ti6Al4V components under four-point bending. The samples were produced by means of AM as well as conventional material. Notched and unnotched specimens were investigated with respect to the crack severity and crack detection using AE. The main AE signal parameters –such as cumulative events, hits, duration, average frequency and rise time– were evaluated and indicate sensitivity to damage propagation in order to lead to a warning against the final fracture occurrence. Finally, this is the first time that AE is applied in AM components under fatigue.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1415387
- Report Number(s):
- LA-UR-17-24367; TRN: US1800788
- Journal Information:
- Mechanics Research Communications, Vol. 84, Issue C; ISSN 0093-6413
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
Study of the Tensile Damage of 321 Stainless Steel for Solar Thermal Power Generation by Acoustic Emission
|
journal | January 2020 |
Scale Effect on the Anisotropy of Acoustic Emission in Coal
|
journal | December 2018 |
Design and Optimization of an MFL Coil Sensor Apparatus Based on Numerical Survey
|
journal | November 2019 |
Similar Records
Acoustic emission for characterising the crack propagation in strain-hardening cement-based composites (SHCC)
Acoustic Emission Detection and Prediction of Fatigue Crack Propagation in Composite Patch Repairs Using Neural Networks