| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Length-Scale Phenomena in Mechanical Response
|
| Presentation Title |
An Efficient Method for the Prediction of Mechanical Properties from the Microstructures of Additively Manufactured Parts |
| Author(s) |
Nathan Gregory March, Dayalan Gunasegaram |
| On-Site Speaker (Planned) |
Nathan Gregory March |
| Abstract Scope |
The mechanical properties of additively manufactured (AM) parts are of critical importance in determining their suitability for their intended application. Due to the spatial variation in the microstructure of AM parts caused by local cooling rates, AM parts can have anisotropic, location-specific mechanical properties, which cannot be measured efficiently with physical testing. This motivates the need for the prediction of mechanical properties using computational homogenization (CH). CH is a mathematical technique that allows for the calculation of mechanical properties and associated quantities. We discuss the implementation of CH for AM parts implemented with a Fast Fourier Transform-based numerical solution technique. Our results demonstrate the accuracy and efficiency of CH for AM parts allowing for: a reduction in the amount of destructive and expensive physical testing required for qualification and certification; the completion of a missing link in the process-structure-performance relationship in the ICME paradigm; and faster and more efficient builds. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Mechanical Properties, Computational Materials Science & Engineering |