| About this Abstract |
| Meeting |
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
| Symposium
|
2024 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2024)
|
| Presentation Title |
Graph Methods for Alloy Informatics and Multi-Material Design |
| Author(s) |
Marshall Allen, Richard Malak, Raymundo Arroyave |
| On-Site Speaker (Planned) |
Marshall Allen |
| Abstract Scope |
Multi-material metal additive manufacturing facilitates the production of compositionally graded alloy (CGA) structures, offering a versatile solution for meeting diverse performance criteria within a single engineering part or for streamlining experimental data collection through multi-material test samples. However, challenges such as the formation of deleterious phases and cracking have impeded the successful fabrication of many CGAs. While various CALPHAD-based approaches, including ternary mapping and robotic path planning methods, have been proposed and demonstrated to mitigate these challenges, they exhibit limitations in scalability and reusability, respectively. In this study, we propose leveraging graph databases (GDBs) to overcome these limitations and establish a scalable, data-reusable framework for alloy informatics and multi-material design. Harnessing GDBs introduces novel avenues for materials design exploration and automated compositional grading. Moreover, employing graph-based methodologies enables the development of manufacturable CGA components, integrating the materials design process with user-defined physical geometries. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |