Toward large-scale simulation of residual stress and distortion in wire and arc additive manufacturing

Hui Huang, Ninshu Ma, Jian Chen, Zhili Feng, Hidekazu Murakawa

Research output: Contribution to journalArticlepeer-review

111 Scopus citations

Abstract

This study aims to advance the structural analysis of wire and arc additive manufacturing (WAAM) by considering the thermomechanical features inherent in direct energy deposition. Simulation approaches including the iterative substructure method (ISM), dynamic mesh refining method (DMRM), and graphics processing unit (GPU) based explicit finite element method (FEM) were developed for accelerating additive manufacturing stress analysis that is very time consuming by conventional numerical methods. ISM and DMRM take advantage of the strong nonlinearity phenomenon near the moving heat source by reducing the global iterations and refining the local mesh, respectively. In addition to the use of GPUs, the explicit FEM is accelerated by a time scaling technique based on the inherent strain concept. The residual stress and distortion of two large builds were analyzed, showing very consistent numerical results and good agreement with experiments. Compared with the commercial software Abaqus, the novel approaches reduced the computational cost substantially without compromising accuracy. The GPU code showed the highest computational efficiency (30∼70×), while DMRM and ISM had acceleration factors of 9× and 3×, respectively. Such high-fidelity modeling approaches will be very useful for building up a digital twin of WAAM to reduce development time and cost.

Original languageEnglish
Article number101248
JournalAdditive Manufacturing
Volume34
DOIs
StatePublished - Aug 2020

Funding

This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). This research was sponsored by the US Department of Energy , Office of Vehicle Technologies, under a prime contract with Oak Ridge National Laboratory (ORNL) . ORNL is managed by UT-Battelle LLC for the US Department of Energy under Contract DE-AC05-00OR22725.

FundersFunder number
U.S. Department of Energy
Oak Ridge National Laboratory
Vehicle Technologies Office
UT-BattelleDE-AC05-00OR22725

    Keywords

    • Adaptive mesh
    • Explicit FEM
    • GPU
    • Substructure
    • Wire and arc additive manufacturing

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