| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Additive Manufacturing: Equipment, Instrumentation and Measurement
|
| Presentation Title |
Using In-situ Process Monitoring Data to Identify Defective Layers in TI-6AL-4V Additively Manufactured Porous Biomaterials |
| Author(s) |
Darragh Egan, Denis Dowling |
| On-Site Speaker (Planned) |
Darragh Egan |
| Abstract Scope |
The detection of process anomalies is critically important during the additive manufacturing of metallic components. In this study Ti-6Al-4V based porous structures were produced on a Renishaw 500M. A co-axial process monitoring system was utilised to generate laser and meltpool related data. When an optimised Generalized Extreme Studentized Deviate (GESD) test was applied to data generated during the processing of structures containing a known number of anomalous layers, the test precisely identified each of the anomalous layers.
When the GESD test was run on the meltpool data generated during the processing of an unintentionally defective sample, 30 layers were identified as defective. Upon visual examination, the identified layers corresponded to the physical location of the defect within the sample. This study thus demonstrated the ability of the GESD test to detect anomalous layers created during the L-PBF process. |