About this Abstract |
Meeting |
2021 TMS Annual Meeting & Exhibition
|
Symposium
|
AI/Data informatics: Design of Structural Materials
|
Presentation Title |
Topology Optimization for Design of Stress-dependent Material Properties |
Author(s) |
Justin S. Unger, Matthew Vaughn, Andrew T. Gaynor, Brandon A. McWilliams, James K. Guest, Kevin J. Hemker |
On-Site Speaker (Planned) |
Justin S. Unger |
Abstract Scope |
Existing automated design methods frequently assume isotropic material models that do not accurately reflect experimentally observed constituent properties of additively manufactured materials, including those that exhibit tension-compression asymmetry of their elastic stress-strain response. A design optimization approach is proposed that incorporates stress-dependent constitutive material models into a topology optimization framework to mitigate specific failure modes while leveraging more realistic material-dependent stress states. Inspired by an idea in [1], this methodology utilizes a bilinear tension-compression elastic formulation based on an orthotropic stress-dependent constitutive material model. This topology optimization scheme is demonstrated on the design of maximum stiffness structures resembling lattices that satisfy minimum feature size constraints and leverage experimentally measured material property data. [1] A. Gaynor, J.K. Guest and C. Moen. Reinforced concrete force visualization and design using bilinear truss-continuum topology optimization. Journal of Structural Engineering, 139(4): 607-618, 2013. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Mechanical Properties, Other |