| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Novel Strategies for Rapid Acquisition and Processing of Large Datasets from Advanced Characterization Techniques
|
| Presentation Title |
High Throughput Characterization of 316L Stainless Steel Fabricated Using Laser Powder Bed Fusion |
| Author(s) |
Justin Warner, Sriram Vijayan |
| On-Site Speaker (Planned) |
Justin Warner |
| Abstract Scope |
The qualification of parts fabricated using fusion-based metal additive manufacturing (AM) process is a major challenge hindering its industrial adoption. The current process-centric qualification framework adopted for AM parts is an expensive and time intensive endeavor, and therefore, a ‘microstructure-centric’ qualification framework that enables rapid qualification of AM parts with complex geometries is required. Implementing this framework requires a comprehensive understanding of microstructure within AM builds. Automated, high throughput methods need to be leveraged to capture the site-specific microstructural variations and correlate them with mechanical properties and process conditions. Here, optical and scanning electron microscopy will be utilized to observe property limiting microstructural features at varied length scales, studying the size, morphology, and phase distribution. An image analysis software will be used to quantify microstructure, developing an optimal workflow to compare 316L SS fabricated using AM and conventional processes. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Iron and Steel, |