About this Abstract |
Meeting |
5th International Congress on 3D Materials Science (3DMS 2021)
|
Symposium
|
5th International Congress on 3D Materials Science (3DMS 2021)
|
Presentation Title |
The AFRL AM Modeling Challenge: Predicting Micromechanical Fields in AM IN625 Using an FFT-based Method with Direct Input from a 3D Microstructural Image |
Author(s) |
Carter Cocke, Anthony Rollett, Ricardo Lebensohn, Ashley Spear |
On-Site Speaker (Planned) |
Carter Cocke |
Abstract Scope |
The efficacy of an elasto-viscoplastic fast Fourier transform (EVPFFT) code was assessed based on blind predictions of micromechanical fields in an experimentally characterized sample of IN625 produced with additive manufacturing (AM). Blind predictions were made in the context of the AFRL AM Modeling Challenge Series. Challenge 4 in the Series required predictions of grain-averaged elastic strain tensors for target grains at six specific loading states given a 3D microstructural image, initial elastic strains of target grains, and macroscopic stress-strain response. Among all participants, our EVPFFT-based submission achieved the lowest total error in comparison to experimental results. Post-challenge investigation revealed that predictions were improved by initializing the elastic strain field through eigenstrains calculated by an Eshelby approximation based on ellipsoidal grain shape rather than assuming fully spherical grains. Lessons learned for predicting full-field micromechanical response using the EVPFFT modeling method will be discussed. |
Proceedings Inclusion? |
Definite: Other |