| About this Abstract |
| Meeting |
MS&T21: Materials Science & Technology
|
| Symposium
|
Additive Manufacturing Modeling and Simulation: Microstructure, Mechanics, and Process
|
| Presentation Title |
A Computational Approach for Establishing Microstructure-property Relationships for Additively Manufactured IN718 |
| Author(s) |
An N. Nguyen, Jason Mayeur |
| On-Site Speaker (Planned) |
An N. Nguyen |
| Abstract Scope |
Through layer-by-layer material deposition, Additive Manufacturing (AM) technology has allowed for direct creation of highly complex components. However, the presence of significant microstructural heterogeneity in AM materials has led to a need for different qualification requirements relative to conventionally produced wrought or cast material. The current approach to AM qualification and testing involves physical production of parts and mechanical testing for each manufacturing and post-processing methodologies, which is costly and time consuming. In this study, we use image-based grain scale polycrystalline simulations to explore material anisotropy, calibrate macroscale yield surface, explore spatial variation, and estimate effective properties of the Ni-based superalloy Inconel 718 produced by Laser-Power Bed Fusion. The simulated microstructures are statistically equivalent to sample material that has been characterized by Electron Back-Scattered Diffraction. |