| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Heterostructured and Gradient Materials (HGM VI): Principle, Processing and Properties
|
| Presentation Title |
Computational Design of Compositionally and Structurally Modulated Materials for Desired Stress-Strain Responses |
| Author(s) |
Zexu Chen, Hariharan Sriram, Taiwu Yu, Yunzhi Wang |
| On-Site Speaker (Planned) |
Yunzhi Wang |
| Abstract Scope |
Shear deformations carried by dislocations, mechanical twinning and martensitic transformations in crystalline solids and by shear banding in metallic glasses share key common features including autocatalysis by long-range elastic interactions and strain avalanche. To tailor stress-strain behaviors during superelastic and plastic deformations one must mitigate autocatalysis. Using NiTi shape memory alloys (SMAs) as an example, we demonstrate that nanoscale composition- or structure-modulations (nanoCM/SM) can effectively suppress autocatalysis and turn the highly non-linear pseudo-elasticity characterized by strain plateaus and large stress-strain hysteresis into linear superelasticity characterized by diminishing hysteresis and ultralow Young’s modulus. In particular, we showcase how various 1D nanoCM/SM with different wavelength, wave shape, amplitude and mean value affect the stress-strain behavior, including the sizes of hysteresis and strain avalanche, the overall linearity of the stress-strain curve, and the Young’s modulus. This research provides quantitative guidance for the design of nanoCM/SM SMAs and other ferroelastic materials with desired stress-strain responses. |
| Proceedings Inclusion? |
Planned: |