About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
|
Symposium
|
Algorithm Development in Materials Science and Engineering
|
Presentation Title |
Crystal Plasticity Simulations Using Cubic Interpolation Method |
Author(s) |
Milica Letic, Mark Lyon, Marko Knezevic |
On-Site Speaker (Planned) |
Milica Letic |
Abstract Scope |
This paper describes an efficient representation of essential functions central to crystal plasticity models of cubic polycrystalline metals in their complete respective domains using cubic polynomial interpolation method for achieving computational efficiency. A number of strategies are currently being explored to speed up crystal plasticity calculations, including discrete Fourier transforms (DFTs) with certain accuracy. The approach allows compact representation and fast retrieval of crystal plasticity solutions for a crystal of any orientation subjected to any deformation mode. The approach has been successfully applied to a rigid–viscoplastic Taylor-type model, while achieving high accuracy in simulating flow stress and texture evolution of polycrystalline copper. Importantly, novel polynomial interpolation approach speeds up the conventional crystal plasticity computations by 4 orders of magnitude and a similar representation relying on the DFTs by approximately 2 orders of magnitude. Details of the approach along with several case studies will be described highlighting the benefits and versatility. |
Proceedings Inclusion? |
Planned: |
Keywords |
Modeling and Simulation, Computational Materials Science & Engineering, Other |