| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing and Innovative Powder Processing of Functional and Magnetic Materials
|
| Presentation Title |
Mapping the Selective Laser Melting Parameter-thermophysical Property Space of a Ni51.2Ti Alloy Using a Combined Experimental and Computational Approach |
| Author(s) |
Asher C. Leff, Nathan Hite, Chen Zhang, Adam A. Wilson, Raymundo Arroyave, Alaa Elwany, Ibrahim Karaman, Darin J. Sharar |
| On-Site Speaker (Planned) |
Asher C. Leff |
| Abstract Scope |
Shape memory alloys like NiTi have been identified as showing promise for thermal energy storage applications. The reversible martensitic transformation these materials undergo can be used to absorb and release heat energy as enthalpy of transformation in order to mitigate the effects of thermal transients. Additive manufacturing (AM) is highly desirable as a processing route for thermal management devices because it enables the production of complex geometries that maximize heat transfer. Further, it has been demonstrated that the transformation temperatures and other thermal properties of NiTi can be tuned by adjusting the AM processing parameters used. In this work, an iterative analytical modeling, design of experiments, and machine learning approach was used to identify the bounds of the selective laser melting parameter space for Ni51.2Ti and to assess the effects of individual print parameters and composite variables such as volumetric energy density on the thermophysical properties of the resultant parts. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Phase Transformations, Energy Conversion and Storage |