| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Additive Manufacturing: Materials, Alloy Development, Microstructure and Properties
|
| Presentation Title |
Prediction and validation of successful multi-material AM interfaces |
| Author(s) |
Nicholas Jones, Rishikesh Magar, Amir Farimani, Jack Beuth, Maarten de Boer |
| On-Site Speaker (Planned) |
Nicholas Jones |
| Abstract Scope |
In metals additive manufacturing, the joining of dissimilar metals has typically been a trial-and-error process. There is a lack of research that uses a systematic approach to determine the root causes of bonding success and failure between alloys. We identified a simple base system – the iron-nickel-chromium ternary system – to test guidelines we have proposed for joining different alloys. Using CALPHAD computational techniques, we analyzed an array of these alloy pairs in order to determine precipitation of intermetallic phases between them. We fed these results into a machine-learning algorithm to quickly predict intermetallic formation across a wide range of composition and temperature. Using these results, we identified guidelines for joining two alloys without forming brittle intermetallics at the interface. These guidelines were tested via directed energy deposition on 22 material combinations. The experimental validation of these guidelines will inform future viability of many multi-material AM structures. |