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Intelligent design in continuous galvanizing process for advanced ultra-high-strength dual-phase steels using back-propagation artificial neural networks and MOAMP-Squirrels search algorithm

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Abstract

In this research work, the optimization of a back-propagation artificial neural network (BPNN) using a new multi-objective bio-inspired algorithm based on squirrels is proposed in order to optimize the main continuous galvanizing process parameters such as the initial cooling rate (CR1), the isothermal holding time at 460 oC (tg), and the final cooling rate (CR2). The computational approach predicts in a satisfactory way the most important mechanical properties including yield strength (YS), ultimate tensile strength (UTS), and elongation at fracture (EL) of cold rolled low carbon DP steels treated under continuous galvanizing thermal cycle conditions. The experimental production of galvanized ultra-high-strength DP steels from cold rolled low carbon sheets with a minimum UTS of 1100 MPa, YS between 550 and 750 MPa, and a minimum elongation of 10% is possible using the proposed methodology.

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Authors and Affiliations

  1. Division of Postgraduate Studies and Research, Tecnológico Nacional de México/IT de Saltillo, Blvd. V. Carranza 2400 Col. Tecnológico, C.P. 25280, Saltillo, Coahuila, Mexico

    Gerardo Altamirano-Guerrero & Edgar O. Reséndiz-Flores

  2. Research Center on Applied Mathematics, Autonomous University of Coahuila, Camporredondo S/N, CP 25115, Saltillo, Coahuila, Mexico

    Irma D. García-Calvillo

  3. Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV), Unidad Saltillo, Zona Industrial, C.P. 25903, Ramos Arizpe, Coahuila, Mexico

    Patricia Costa & Armando Salinas-Rodríguez

  4. International Zinc Association, 2530 Meridian Parkway, Durham, NC, 27713, USA

    Frank Goodwin

Authors
  1. Gerardo Altamirano-Guerrero
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  2. Irma D. García-Calvillo
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  3. Edgar O. Reséndiz-Flores
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  4. Patricia Costa
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  5. Armando Salinas-Rodríguez
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  6. Frank Goodwin
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Correspondence to Edgar O. Reséndiz-Flores.

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Altamirano-Guerrero, G., García-Calvillo, I.D., Reséndiz-Flores, E.O. et al. Intelligent design in continuous galvanizing process for advanced ultra-high-strength dual-phase steels using back-propagation artificial neural networks and MOAMP-Squirrels search algorithm. Int J Adv Manuf Technol 110, 2619–2630 (2020). https://doi.org/10.1007/s00170-020-06002-5

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  • DOI: https://doi.org/10.1007/s00170-020-06002-5

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