| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Fatigue and Fracture: Developing Predictive Capabilities
|
| Presentation Title |
Effects of Process Parameters, Defects, and HIP Processing on S-N Fatigue of LPBF AlSi10Mg |
| Author(s) |
Collin J. Sharpe, Austin Q. Ngo, Christopher Tuma, Michael Shinohara, Holly Martin, John J. Lewandowski |
| On-Site Speaker (Planned) |
Austin Q. Ngo |
| Abstract Scope |
The effects of changes in process parameters and resulting defects on tension and S-N fatigue behavior of additively manufactured AlSi10Mg have been determined through tensile and fatigue testing of cylindrical samples according to ASTM E8/E8M-16a and ASTM E466 respectively. Samples were prepared under distinct P-V parameters and heat treatments for the following classifications: nominal + HIP, large defects + HIP, small to medium defects + HIP, many defects + HIP, large defects without HIP, and small to medium defects without HIP. Scanning electron microscope (SEM) images of the fracture surfaces have been captured and used to quantify fatigue-initiating defects, including those that did not produce catastrophe. Box-and-whisker plots are used to demonstrate the distribution these defects’ square root area. By reviewing those distributions in conjunction with the tension and S-N data, average S-N fatigue performance can be compared between groups of different process parameters, heat treatments, or build orientations. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Aluminum, |