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RETRACTED ARTICLE: Prediction microhardness profile of functionally graded steels by ANFIS

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This article was retracted on 25 August 2020

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Abstract

In the present study, the Vickers microhardness profile of ferritic and austenitic functionally graded steel produced by electroslag remelting process has been modeled by adaptive network-based fuzzy inference system (ANFIS). To produce functionally graded steels, a spot-welded electrode that consists of two slices of plain carbon steel and austenitic stainless steel was used. Functionally graded steel containing graded layers of ferrite and austenite may be fabricated via diffusion of alloying elements during remelting stage. Vickers microhardness profile of the specimen has been obtained experimentally and modeled with ANFIS. To build the model for graded ferritic and austenitic steels, training, testing and validation using, respectively, 174 and 120 experimental data were conducted. According to the input parameters, the Vickers microhardness of each layer was predicted. The training, testing and validation results in the ANFIS models have shown a strong potential for predicting microhardness profile of both graded ferritic and austenitic steels. It was shown that the Vickers microhardness can be predicted by ANFIS in the range of the examined data.

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  • 25 August 2020

    The Editor-in-Chief has retracted this articl

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Birjand Branch, Islamic Azad University, Birjand, Iran

    Hamid Bohlooli

  2. Department of Materials Science and Engineering, Saveh Branch, Islamic Azad University, Saveh, Iran

    Ali Nazari

  3. Young Researchers Club, Birjand Branch, Islamic Azad University, Birjand, Iran

    Mohammad Mehdi Kaykha

Authors
  1. Hamid Bohlooli
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  2. Ali Nazari
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  3. Mohammad Mehdi Kaykha
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Correspondence to Ali Nazari.

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Bohlooli, H., Nazari, A. & Kaykha, M.M. RETRACTED ARTICLE: Prediction microhardness profile of functionally graded steels by ANFIS. Neural Comput & Applic 22, 847–858 (2013). https://doi.org/10.1007/s00521-011-0775-3

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  • DOI: https://doi.org/10.1007/s00521-011-0775-3

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