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Computational Design of a Novel Medium-Carbon, Low-Alloy Steel Microalloyed with Niobium

  • Vahid Javaheri
  • Tuomo Nyyssönen
  • Bjørnar Grande
  • David Porter
Article

Abstract

The design of a new steel with specific properties is always challenging owing to the complex interactions of many variables. In this work, this challenge is dealt with by combining metallurgical principles with computational thermodynamics and kinetics to design a novel steel composition suitable for thermomechanical processing and induction heat treatment to achieve a hardness level in excess of 600 HV with the potential for good fracture toughness. CALPHAD-based packages for the thermodynamics and kinetics of phase transformations and diffusion, namely Thermo-Calc® and JMatPro®, have been combined with an interdendritic segregation tool (IDS) to optimize the contents of chromium, molybdenum and niobium in a proposed medium-carbon low-manganese steel composition. Important factors taken into account in the modeling and optimization were hardenability and as-quenched hardness, grain refinement and alloying cost. For further investigations and verification, the designed composition, i.e., in wt.% 0.40C, 0.20Si, 0.25Mn, 0.90Cr, 0.50Mo, was cast with two nominal levels of Nb: 0 and 0.012 wt.%. The results showed that an addition of Nb decreases the austenite grain size during casting and after slab reheating prior to hot rolling. Validation experiments showed that the predicted properties, i.e., hardness, hardenability and level of segregation, for the designed composition were realistic. It is also demonstrated that the applied procedure could be useful in reducing the number of experiments required for developing compositions for other new steels.

Keywords

CALPHAD computational design homogenization IDS JMatPro microsegregation prior austenite grain size Thermo-Calc® wear resistance steel 

Notes

Acknowledgments

The authors are grateful for financial support from the European Commission under Grant Number 675715—MIMESIS—H2020-MSCA-ITN-2015, which is a part of the Marie Sklodowska-Curie Innovative Training Networks European Industrial Doctorate programme. We would also like to thank Sami Koskenniska of the University of Oulu for providing some of the IDS simulations.

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Copyright information

© ASM International 2018

Authors and Affiliations

  • Vahid Javaheri
    • 1
  • Tuomo Nyyssönen
    • 2
  • Bjørnar Grande
    • 3
  • David Porter
    • 1
  1. 1.Department of Material Engineering and Production TechnologyUniversity of OuluOuluFinland
  2. 2.Materials Science Research GroupUniversity of TampereTampereFinland
  3. 3.R&D Engineer, EFD Induction a.sSkienNorway

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