Large-scale thermo-mechanical simulation of laser beam welding using high-performance computing: A qualitative reproduction of experimental results

Results in Engineering, vol. 29, pp. 108827

Abstract

• Large-scale thermo-mechanical simulations of laser beam welding achieved qualitative agreement with experimental Controlled Tensile Weldability (CTW) test results using high-performance computing. • Hybrid software pipeline combining ANSYS and our inhouse FE2TI software enabled highly resolved simulations with up to 17.6 million degrees of freedom. • Parallel domain decomposition methods with Generalized-Dryja-Smith-Widlund coarse spaces demonstrated 93% parallel efficiency scaling up to 1,440 cores. • Cross-shaped strain distribution patterns identified as key indicators of solidification cracking in austenitic stainless steel welds. Laser beam welding (LBW) is a non-contact joining technique that has gained significant importance in modern industrial manufacturing. One potential problem, however, is the formation of solidification cracks, which particularly affects alloys with a pronounced melting range. The aim of the present work is the development of computational methods and software tools to numerically simulate LBW. In order to obtain a sufficiently accurate solution, a large number of finite elements has to be used. Therefore, a highly parallel scalable solver framework, based on the software library PETSc, was used to solve this computationally challenging problem on a high-performance computing architecture. Finally, the experimental results and the numerical simulations are compared. They are found to be in good qualitative agreement, which confirms the validity of the numerical simulations and allows for a better interpretation of the experimentally observed strain distribution.

Authors 9

1. Tommaso Bevilacqua

   University of Cologne

   Affiliation as printed

   Department of Mathematics and Computer Science, University of Cologne, Cologne, Germany

2. Andrey Gumenyuk

   Federal Institute For Materials Research and Testing

   Affiliation as printed

   Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany

3. Niloufar Habibi

   Federal Institute For Materials Research and Testing

   Affiliation as printed

   Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany

4. Philipp Hartwig

   University of Duisburg-Essen

   Affiliation as printed

   Institute of Mechanics, Department of Civil Engineering, University Duisburg-Essen, Duisburg, Germany

5. Axel Klawonn corresponding

   University of Cologne

   Affiliation as printed

   Center for Data and Simulation Science, University of Cologne, Cologne, Germany

   Department of Mathematics and Computer Science, University of Cologne, Cologne, Germany

6. Martin Lanser

   University of Cologne

   Affiliation as printed

   Center for Data and Simulation Science, University of Cologne, Cologne, Germany

   Department of Mathematics and Computer Science, University of Cologne, Cologne, Germany

7. Michael Rethmeier

   Federal Institute For Materials Research and Testing · Fraunhofer Institute for Production Systems and Design Technology · Technische Universität Berlin

   Affiliation as printed

   Bundesanstalt für Materialforschung und -prüfung (BAM), Berlin, Germany

   Fraunhofer Institute for Production Systems and Design Technology IPK, Berlin, Germany

   Technische Universität Berlin, Berlin, Germany

8. Lisa Scheunemann Aachen Institute of Applied Mechanics

   RWTH Aachen University

   Affiliation as printed

   Institute of Applied Mechanics,RWTH Aachen, Aachen, Germany

9. Jörg Schröder