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RETRACTED ARTICLE: Modeling hardness of Nb-microalloyed steels using fuzzy logic

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A Correction to this article was published on 19 January 2021

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Abstract

The paper presents some results of the research connected with the development of new approach based on the fuzzy logic of predicting the Vickers microhardness of the phase constituents occurring in five steels after continuous cooling. The independent variables in the model are chemical compositions, initial austenite grain size, and cooling rate over the temperature range of the occurrence of phase transformations. For purpose of constructing these models, 114 different experimental data were gathered from the literature. The data used in the fuzzy logic model are arranged in a format of twelve input parameters that cover the chemical compositions, initial austenite grain size, and cooling rate, and output parameter which is Vickers microhardness. In this model, the training and testing results in the fuzzy logic systems have shown strong potential for prediction of effects of chemical compositions and heat treatments on hardness of microalloyed steels.

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Authors and Affiliations

  1. Department of Materials Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Gholamreza Khalaj, Hossein Yoozbashizadeh, Alireza Khodabandeh & Ali Nazari

Authors
  1. Gholamreza Khalaj
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  2. Hossein Yoozbashizadeh
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  3. Alireza Khodabandeh
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  4. Ali Nazari
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Correspondence to Gholamreza Khalaj.

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Khalaj, G., Yoozbashizadeh, H., Khodabandeh, A. et al. RETRACTED ARTICLE: Modeling hardness of Nb-microalloyed steels using fuzzy logic. Neural Comput & Applic 23, 207–214 (2013). https://doi.org/10.1007/s00521-011-0802-4

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  • DOI: https://doi.org/10.1007/s00521-011-0802-4

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