Using genetic algorithms with multi-objective optimization to adjust finite element models of welded joints

  1. Lostado Lorza, R. 2
  2. Escribano García, R. 3
  3. Fernandez Martinez, R. 1
  4. Martínez Calvo, M.Á. 2
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

  2. 2 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

  3. 3 IK4-Lortek
    info

    IK4-Lortek

    Ordizia, España

    ROR https://ror.org/04z0p3077

Revista:
Metals

ISSN: 2075-4701

Año de publicación: 2018

Volumen: 8

Número: 4

Tipo: Artículo

DOI: 10.3390/MET8040230 SCOPUS: 2-s2.0-85045391255 GOOGLE SCHOLAR

Otras publicaciones en: Metals

Repositorio institucional: lock_openAcceso abierto Editor

Resumen

To ensure realistic results when modeling welded joints using the finite element method (FEM), it is essential to appropriately characterize the thermo-mechanical behavior of the elastic-plastic Finite Element (FE) models. This task is complex. Any small differences between the actual welded joints and the welded joints based on FEM can be amplified enormously in the presence of nonlinearities. Due to the intense concentration of heat on a small area to create such joints, the regions near the weld line undergo severe thermal cycles. These generate significant angular distortion due mainly to the residual stresses. This paper proposes a method to determine the parameters that are most appropriate for modeling the Butt joint single V-groove welded joint FE models’ thermo-mechanical behavior that were created by the one-pass Gas Metal ArcWelding (GMAW). The method is based on experimental data, as well as genetic algorithms (GA) with multi-objective functions. As a practical example, the proposed methodology is validated with three different welded joints specimens that are manufactured by different voltages and currents (26 volts and 140 amps, 28 volts and 210 amps, and 35 volts and 260 amps). The electrode orientation, shielding gas flow rate, distance between nozzle and plate, and welding speed were considered to be constant for all of the specimens that were studied, and their values were 80o, 20.0 L/min, 4.0 mm, and 6 mm/s, respectively. The base material was EN 235JR low carbon steel, whereas the weld bead was ER70S-6 for the three specimens that were welded. An agreement between the temperature field and the angular distortion that was obtained by the adjusted FE models and those that were obtained experimentally demonstrates that the proposed methodology may be valid for automatically determining the most appropriate parameters. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.