| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Developing Predictive Capabilities
|
| Presentation Title |
Quantifying the Influence of Scan Strategy on the Microstructure and Fatigue Properties of SLM Inconel 718 Thin Walls |
| Author(s) |
Connor Varney , Paul Rottmann, Md Imran Noor |
| On-Site Speaker (Planned) |
Md Imran Noor |
| Abstract Scope |
The as-printed microstructure of additively manufactured parts is a function of many variables that span from scan strategy to part geometry. This is particularly relevant in precipitation strengthened alloys (e.g. Inconel 718), as thermal history—which itself varies across a build—dictates the distribution of precipitates in the microstructure. Elucidation of the complex relationship between geometry, scan strategy, and resultant microstructure is necessary to optimize scan strategies. In this study, a series of thin wall Inconel 718 tensile specimens with thicknesses ranging from 0.1-1mm were printed via SLM. The thin walls were printed using either only contours or a contour+hatching strategy. To obtain a better understanding of the process-structure-property-performance relationship of thin walls the influence of scan strategy and thickness on the microstructure and porosity (EBSD, microCT) as well as mechanical properties (tensile, fatigue) were characterized and compared to bulk specimens from the same print run. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, High-Temperature Materials, Characterization |