|About this Abstract
||2021 TMS Annual Meeting & Exhibition
||Additive Manufacturing Fatigue and Fracture V: Processing-Structure-Property Investigations and Application to Qualification
||Towards Validation for Computed Tomography Processes for Additive Manufacturing
||Griffin Jones, Jayme S. Keist, Rachel Reed, Veeraraghavan Sundar
|On-Site Speaker (Planned)
Reliable non-destructive evaluation (NDE) techniques are essential in advancing the use of additive manufacturing (AM) to reliably produce critical components. Recent studies have identified resolution limitations to X-ray computed tomography (CT), especially when denser materials are involved. In this study, we present initial results of an effort to establish comparison methods and workflows for validating CT and potentially other NDE methods, with ground truth data from automated serial sectioning on a series of AM components. An automatic defect recognition (ADR) algorithm is used to enhance efficiency of inspection with the CT process. The data was used to evaluate the effectiveness of CT at detecting AM processing flaws. CT, under certain acquisition parameters, can have a lower (<=10%) detection rate compared to that of serial sectioning. The results highlight the need for validation and resolution improvement of NDE methods in critical AM components.
||Additive Manufacturing, Characterization, Other