| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Materials Design and Alloy Development II
|
| Presentation Title |
Computational Design of Compositionally Graded Alloys for Monotonic Property Gradients |
| Author(s) |
Tanner Kirk, Olga Eliseeva, Richard Malak, Raymundo Arroyave, Ibrahim Karaman |
| On-Site Speaker (Planned) |
Tanner Kirk |
| Abstract Scope |
Additive manufacturing has accelerated the development of Functionally Graded Materials (FGMs) by enabling the layer-by-layer control of composition. Previous work has applied path planning algorithms and CALPHAD phase predictions to design FGMs that avoid deleterious phases. This work is extended to design FGMs with monotonic property gradients by minimizing a Lack of Monotonicity (LOM) cost function. By controlling material deposition rate, compositional paths with monotonic property gradients can be used to create functionally graded parts with properties that vary linearly, monotonically or even nonmonotonically along the dimensions of the part. Case studies are presented that showcase the design of compositionally graded alloys that have monotonic gradients in Coefficient of Thermal Expansion (CTE). These monotonic CTE gradients can be used to create functionally graded parts that minimize CTE mismatch and consequently reduce stresses induced during manufacturing. Other case studies demonstrate the design of FGMs for part-scale objectives like stiffness and density. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |