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A Deformation Mechanism Map for the 1.23Cr-1.2Mo-0.26V Rotor Steel and Its Verification Using Neural Networks

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Abstract

A deformation mechanism map is constructed for the 1.23Cr-1.2Mo-0.26V rotor steel as a function of temperature, stress, and strain rate using published creep test results and the current understanding of time dependent deformation mechanisms operative in complex engineering alloys. Instead of diffusional creep, grain boundary sliding (GBS) accommodated by different deformation processes is considered dominant at lower strain rates. The GBS dominated region is further sub-divided into two parts, where GBS is accommodated by wedge type cracking at temperatures below 0.5T/T m and the accommodation process changes to creep cavitation at temperatures above 0.5T/T m. The map is verified using experimental data and artificial neural network modeling. The proposed artificial neural network model is capable of predicting the dominance of different deformation mechanisms in 1.23Cr-1.2Mo-0.26V steel over a wide range of stress and temperature. This modeling procedure can potentially be used to construct or expand deformation mechanism maps for other engineering alloys.

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Acknowledgment

The authors would like to thank Mr. Nazish Irfan of the School of Electrical Engineering and Computer Science, University of Ottawa, for helping in Matlab programming required in this work.

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of Ottawa, 161 Louis-Pasteur, Ottawa, ON, K1N 6N5, Canada

    Nafisa Bano (Student) & Michel Nganbe (Associate Professor)

  2. Life Prediction Technologies Inc., 1010 Polytech Street, Ottawa, ON, K1J 9J1, Canada

    Ashok K. Koul (President)

Authors
  1. Nafisa Bano
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  2. Ashok K. Koul
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  3. Michel Nganbe
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Correspondence to Nafisa Bano.

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Manuscript submitted May 20, 2013.

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Bano, N., Koul, A.K. & Nganbe, M. A Deformation Mechanism Map for the 1.23Cr-1.2Mo-0.26V Rotor Steel and Its Verification Using Neural Networks. Metall Mater Trans A 45, 1928–1936 (2014). https://doi.org/10.1007/s11661-013-2172-2

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  • DOI: https://doi.org/10.1007/s11661-013-2172-2

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