About this Abstract |
Meeting |
Advances in Welding and Additive Manufacturing Research 2022
|
Symposium
|
Advances in Welding and Additive Manufacturing Research 2022
|
Presentation Title |
Automated Heat Source Calibration in FEA Simulations of Welding |
Author(s) |
Yuxiang Luo, Eun Jang, Boian Alexandrov |
On-Site Speaker (Planned) |
Yuxiang Luo |
Abstract Scope |
This work discusses the development of an FEA model-based design of experiment (DoE) module for simulation and parameter optimization of Temper Bead Welding (TBW) procedures. Power generation industries currently qualify TBW procedures through a “trial-and error” approach with extensive experimental work, costing time and money. Therefore, a model-based DoE approach was developed to facilitate the qualification process. The DoE module includes a feature for automatic heat source calibration, to calculate the optimal simulation parameters that accurately replicate the welding procedure.
This paper presents a computational heat source calibration framework to compliment the overall optimization framework of temper bead welding procedures. Heat sources were calibrated for nine distinct single-pass experimental welds. Simulations were run on SysWeld to replicate those experimental welds with calibrated heat sources. The validation showed that the proposed heat source calibration framework can search the optimal heat source to be used in precise replication of experimental welds and further optimization of the TBW procedures. |
Proceedings Inclusion? |
Undecided |