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Surrogate-based pareto optimization of annealing parameters for severely deformed steel

Ghiabakloo, H ; Sharif University of Technology | 2016

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  1. Type of Document: Article
  2. DOI: 10.1016/j.matdes.2015.11.059
  3. Publisher: Elsevier Ltd , 2016
  4. Abstract:
  5. Severe plastic deformation (SPD) is a metalworking technique that is used for the enhancement of the strength and hardness of metallic materials. As SPD causes ductility deterioration, materials typically necessitate annealing for ductility increase; however, annealing may conversely affect strength and hardness. Thus, to optimally balance strength, hardness, and ductility, this study determined annealing conditions with a severely deformed low carbon steel sheet by adjusting annealing time and temperature. For the facilitation of the annealing process optimization, measurements of strength, hardness, and ductility under various annealing conditions were represented by regression Kriging. Then, because of the conflicting nature of the desired metal properties, a set of optimal annealing conditions was identified by Pareto multi-objective optimization. Finally, the best combination on the Pareto front was selected with TOPSIS. The results of Pareto optimization with regression Kriging showed that the best candidates for annealing conditions can be determined at a significantly reduced experimental cost
  6. Keywords:
  7. Severe plastic deformation (SPD) ; Technique for order preferences by similarity to ideal solution (TOPSIS) ; Annealing ; Carbon ; Ductility ; Hardness ; Interpolation ; Low carbon steel ; Multiobjective optimization ; Optimization ; Pareto principle ; Plastic deformation ; Regression analysis ; Strength of materials ; Annealing condition ; Annealing parameters ; Ideal solutions ; Metallic material ; Optimal annealing ; Pareto optimization ; Regression-kriging ; Severe plastic deformations ; Metal analysis
  8. Source: Materials and Design ; Volume 92 , 2016 , Pages 1062-1069 ; 02641275 (ISSN)
  9. URL: http://www.sciencedirect.com/science/article/pii/S0264127515308017?via%3Dihub