| About this Abstract |
| Meeting |
13th International Conference on the Technology of Plasticity (ICTP 2021)
|
| Symposium
|
13th International Conference on the Technology of Plasticity (ICTP 2021)
|
| Presentation Title |
Strain Hardening of AA5182-O Considering Strain Rate and Temperature Effect |
| Author(s) |
Hongchun Shang, Pengfei Wu, Yanshan Lou |
| On-Site Speaker (Planned) |
Hongchun Shang |
| Abstract Scope |
Strain hardening properties of AA5182-O metal sheet are experimentally studied and analytically modelled in this research. A notched specimen is used to characterize the strain hardening properties of the alloy at different strain rate and temperature up to large strain until fracture. The strain hardening behaviors are then modeled by popular analytical models to consider the strain rate and thermal effects. The high nonlinear strain hardening with the effect of strain rate and temperature is also illustrated by artificial neural network. The results show that the strain hardening with strain rate and thermal effect can be accurately modelled by the neural network compared with the conventional models, but its computation efficiency is much lower than the analytical models. |
| Proceedings Inclusion? |
Definite: At-meeting proceedings |