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Structural phase transformation in single-crystal Fe–Cr–Ni alloy during creep deformation using molecular dynamics simulation and regression-based machine learning methodology

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Abstract

Manipulation of creep properties and microstructural transformations at different temperatures and applied stresses depicts huge importance for the design and development of various grades of metals and alloys. Therefore, we have considered nano-size face-centered cubic (FCC) single crystal of Fe–Cr–Ni alloy to investigate creep response under a wide range of temperatures and pressure through molecular dynamics (MD) simulation and regression-based machine learning methodologies. From MD simulation, we have found the evolution of multiple rectangular blocks of body-centered cubic (BCC) crystal and layered FCC and HCP crystal during creep deformation under externally applied tensile load. Rectangular blocks and layered crystal structures corroborated with the secondary and tertiary stages of creep curves of Fe–Cr–Ni alloy, respectively. Machine learning methodology provides information to predict the creep properties and correlates data obtained from MD simulations. The results of this investigation will provide an understanding of the creep properties during thermal and mechanical processing, which will help to improve the performance of various grades of steel and other alloys.

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Acknowledgements

We thank CSIR-NML for providing the financial assistance under the Project No. MLP-3122.

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Authors and Affiliations

  1. National Institute of Technology, Jamshedpur, 831 014, India

    Arun Kumar & Ashok Kumar

  2. CSIR-National Metallurgical Laboratory, Jamshedpur, 831 007, India

    Sunil Kumar

Authors
  1. Arun Kumar
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  2. Sunil Kumar
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  3. Ashok Kumar
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Correspondence to Sunil Kumar.

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Kumar, A., Kumar, S. & Kumar, A. Structural phase transformation in single-crystal Fe–Cr–Ni alloy during creep deformation using molecular dynamics simulation and regression-based machine learning methodology. Bull Mater Sci 47, 7 (2024). https://doi.org/10.1007/s12034-023-03075-2

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  • DOI: https://doi.org/10.1007/s12034-023-03075-2

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