| 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 |
"Learning by Seeing": Estimating Metal Plasticity Parameters Using In Situ Observations of Cutting and Indentation |
| Author(s) |
Harshit Chawla, Shwetabh Yadav, Gan Feng, Dinakar Sagapuram |
| On-Site Speaker (Planned) |
Harshit Chawla |
| Abstract Scope |
We present a novel and highly efficient approach to solve the inverse problem of estimating plastic constitutive parameters of metals using high-speed imaging and in situ measurements of deformation fields in plane-strain cutting and indentation. Point estimates of best constitutive parameters are computed purely using optimization-based algorithms by minimizing the error between internal plastic work and the corresponding external work, without the need for expensive finite element simulations. A Bayesian statistical approach is also demonstrated for obtaining the posterior distributions of the parameters. Data from standard compression tests are used to validate the feasibility of this approach for inferring plasticity parameters of ductile materials, including copper, brass and low melting-point eutectic alloys. The talk will also address the effect of imaging-related parameters (such as noise, spatial resolution, frame rate) on parameter estimation, as well as possible extension of this approach to high strain rates (> 10^3 per second). |
| Proceedings Inclusion? |
Definite: At-meeting proceedings |