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An Informatics Based Approach to Reduce the Grain Size of Cast Hadfield Steel

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Abstract

Materials Informatics concept using computational intelligence based approaches are employed to bring out the significant alloying additions to achieve grain refinement in cast Hadfield steel. Castings of Hadfield steels used for railway crossings, requires fine grained austenitic structure. Maintaining proper grain size of this component is very crucial in order to achieve the desired properties and service life. This work studies the important variables affecting the grain size of such steels which includes the compositional and processing variables. The computational findings and prior knowledge is used to design the alloy, which is subjected to a few trials to validate the findings.

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Authors and Affiliations

  1. Indian Institute of Engineering Science and Technology, Shibpur, Howrah, 711103, India

    Swati Dey

  2. Texmaco Rail and Engineering Ltd, Belgharia, 700056, India

    Shankha Pathak & Damodar H. Kela

  3. Birla Institute of Technology and Science, Pilani, 333031, India

    Sumit Sheoran

  4. B.U. Institute of Engineering, Bankura, 722146, India

    Shubhabrata Datta

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  1. Swati Dey
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  2. Shankha Pathak
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  3. Sumit Sheoran
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  5. Shubhabrata Datta
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Correspondence to Swati Dey.

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Dey, S., Pathak, S., Sheoran, S. et al. An Informatics Based Approach to Reduce the Grain Size of Cast Hadfield Steel. J. Inst. Eng. India Ser. D 97, 1–9 (2016). https://doi.org/10.1007/s40033-015-0084-6

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  • DOI: https://doi.org/10.1007/s40033-015-0084-6

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