| About this Abstract |
| Meeting |
2024 AWS Professional Program
|
| Symposium
|
2024 AWS Professional Program
|
| Presentation Title |
Development of Fast Numerical Solver for Simulation of Large-scale Welded Structures |
| Author(s) |
Jian Chen, Zhili Feng, Yu-Ping Yang, Steven Scholler, Fernando Okigami, Jeff Robertson, Hassan Ghassemi-Armaki, Blair Carlson |
| On-Site Speaker (Planned) |
Jian Chen |
| Abstract Scope |
Computational modeling has been widely used by industry to optimize the welding processes to minimize the dimensional changes and residual stress to meet the specifications. However, welding simulation of large-scale weld assemblies is extremely time-consuming or practically impossible due to large degrees of freedom being involved. Based on a recently patented acceleration scheme, Oak Ridge National Laboratory in partnership with industries is developing a novel finite element solver to drastically increase the computation speed by the order of magnitude ranging from 100x to 1000x times over the existing commercial software. With the support of solid and shell elements, the solver has been successfully demonstrated in many industrial welding applications including arc welding of dissimilar metals in nuclear power plant piping systems, laser brazing of automotive roof panels, and multi-pass arc welding of very large ship panel structures. |
| Proceedings Inclusion? |
Undecided |