Large-Scale Welding Process Simulation by GPU Parallelized Computing

H. Huang, J. Chen, Z. Feng, H. P. Wang, W. Cai, B. E. Carlson

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The computational design of industrially relevant welded structures is extremely time consuming due to coupled physics and high nonlinearity. Previously, most welding distortion and residual stress simulations have been limited to small coupons and reduced order (from three-dimensional [3D] to two-dimensional [2D]), or inherent strain approximations were used for large structures. In this current study, an explicit finite element code based on a graphics processing unit was utilized to perform 3D transient thermomechanical simulation of structural components during welding. Laser brazing of aluminum alloy panels as representative of automotive manufacturing scenarios was simulated to predict out-of-plane distortion under different clamping conditions. The predicted deformation pattern and magnitude were validated by laser scanning data of physical assemblies. In addition, the code was used to investigate residual stresses developed during multipass arc welding of a nuclear industry pressurizer surge nozzle and subsequent welding repair where a 3D simulation was necessary. Taking the experimental data as reference, the 3D model predicted better residual stress distribution than a typical 2D asymmetrical model. Stress evolution in welding repair was also presented and discussed in this study. The efficient numerical model made it feasible to use integrated computational welding engineering to simulate welding processes for large-scale structures.

Original languageEnglish
Pages (from-to)359S-370S
JournalWelding Journal
Volume100
Issue number11
DOIs
StatePublished - Nov 2021

Funding

This research was sponsored by the U.S. Department of Energy, Office of Vehicle Technology, under a prime contract with Oak Ridge National Laboratory (ORNL), Oak Ridge, Tenn. ORNL is managed by UT-Battelle LLC. for the U.S. Department of Energy under Contract DE-AC05-00OR22725. The authors would like to express their gratitude to Kyle Douglas and Jason (Yiyu) Wang for their assistance with the technical review of this article. This research was sponsored by the U.S. Department of Energy, Office of Vehicle Technology, under a prime contract with Oak Ridge National Laboratory (ORNL), Oak Ridge, Tenn. ORNL is managed by UT-Battelle LLC. for the U.S. Department of Energy under Contract DE-AC05-00OR22725. The authors would like to express their gratitude to Kyle Douglas and Jason (Yiyu) Wang for their assistance with the technical review of this article.

FundersFunder number
Office of Vehicle Technology
U.S. Department of
U.S. Department of EnergyDE-AC05-00OR22725
Oak Ridge National Laboratory
UT-Battelle

    Keywords

    • Finite Element Method (FEM)
    • Graphics Processing Unit (GPU) Parallel Computing
    • Laser Brazing
    • Residual Stresses
    • Welding Distortion
    • Welding Simulation

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