About this Abstract |
Meeting |
2023 TMS Annual Meeting & Exhibition
|
Symposium
|
AI/Data Informatics: Computational Model Development, Validation, and Uncertainty Quantification
|
Presentation Title |
Robust and Efficient Method for Calibration of Thermal Models for Additive Manufacturing |
Author(s) |
Michael Groeber, Joy Forsmark, Yang Huo |
On-Site Speaker (Planned) |
Michael Groeber |
Abstract Scope |
Fasting acting models for additive manufacturing are in great demand, in part to be used in computational approaches for designing/optimizing processing strategies and parameters. However, there are questions regarding there accuracy, domain of utility, and how best to calibrate and validate them. In this work, we will present a systematic approach to calibrating and validating one such model, with detailed discussion on the challenges encountered. Specifically, we will focus on methods that are practical for engineering implementation in the vision of ICME. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Modeling and Simulation, Machine Learning |