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Metallurgical and Materials Transactions A

, Volume 42, Issue 12, pp 3729–3742 | Cite as

Effect of Composition and Deformation on Coarse-Grained Austenite Transformation in Nb-Mo Microalloyed Steels

  • N. Isasti
  • D. Jorge-Badiola
  • M. L. Taheri
  • B. López
  • P. Uranga
Symposium: Austenite Formation and Decomposition IV

Abstract

Thermomechanical processing of microalloyed steels containing niobium can be performed to obtain deformed austenite prior to transformation. Accelerated cooling can be employed to refine the final microstructure and, consequently, to improve both strength and toughness. This general rule is fulfilled if the transformation occurs on a quite homogeneous austenite microstructure. Nevertheless, the presence of coarse austenite grains before transformation in different industrial processes is a usual source of concern, and regarding toughness, the coarsest high-angle boundary units would determine its final value. Sets of deformation dilatometry tests were carried out using three 0.06 pct Nb microalloyed steels to evaluate the effect of Mo alloying additions (0, 0.16, and 0.31 pct Mo) on final transformation from both recrystallized and unrecrystallized coarse-grained austenite. Continuous cooling transformation (CCT) diagrams were created, and detailed microstructural characterization was achieved through the use of optical microscopy (OM), field emission gun scanning electron microscopy (FEGSEM), and electron backscattered diffraction (EBSD). The resultant microstructures ranged from polygonal ferrite (PF) and pearlite (P) at slow cooling ranges to bainitic ferrite (BF) accompanied by martensite (M) for fast cooling rates. Plastic deformation of the parent austenite accelerated both ferrite and bainite transformation, moving the CCT curves to higher temperatures and shorter times. However, an increase in the final heterogeneity was observed when BF packets were formed, creating coarse high-angle grain boundary units.

Keywords

Ferrite Austenite Bainite High Cool Rate Bainitic Ferrite 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

Financial support of this work by the Spanish Science and Innovation Department (MAT2009-09250 project) is gratefully acknowledged. One of the authors (NI) acknowledges a research grant from the University of Navarra. PU is grateful to NSF and TMS for the MS&T’10 Conference registration fee funding.

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Copyright information

© The Minerals, Metals & Materials Society and ASM International 2011

Authors and Affiliations

  • N. Isasti
    • 1
  • D. Jorge-Badiola
    • 1
  • M. L. Taheri
    • 2
  • B. López
    • 1
  • P. Uranga
    • 1
  1. 1.CEIT and TECNUN (University of Navarra)Donostia-San SebastianBasque Country, Spain
  2. 2.Materials DepartmentDrexel UniversityPhiladelphiaUSA

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