| About this Abstract |
| Meeting |
TMS Specialty Congress 2025
|
| Symposium
|
Joint Sessions of AIM, ICME, & 3DMS
|
| Presentation Title |
Modelling Physical-to-Virtual Feedback Flow of Digital Twins for Induction Furnace |
| Author(s) |
Maruthi Annamaraju, Surya R. Kalidindi |
| On-Site Speaker (Planned) |
Maruthi Annamaraju |
| Abstract Scope |
Digital Twins readily find applications in the manufacturing domain providing efficient real-time control through continuous updates using representative numerical models and sensor-based measurements of the manufacturing process. The focus of our work lies on modelling the physical-to-virtual feedback flow for a Digital Twin representing an Induction Furnace involved in an induction furnace/ultrasonic atomizer system used in processing metal powders by homogenizing and atomizing a binary molten metal system.
Our framework involves (1) Numerical modelling; and (2) Gaussian Process-based emulators. The numerical model employs finite element solvers to compute electromagnetically driven non-isothermal molten metal flow and a phase-field model for the homogenization of the binary molten metal system. To calibrate the Digital Twin, we learn the discrepancy between the numerical model and sensor-based measurements using Gaussian Process-based emulators enhancing the predictive capability of the DT. Additionally, we show improvements in the estimates of model parameters calibrated using inverse modelling. |
| Proceedings Inclusion? |
Definite: Post-meeting proceedings |