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Study on Ductility of Ti Aluminides Using Mamdani Fuzzy Inference System

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Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 130))

Abstract

Application of Ti aluminide is limited due to its poor ductility at room temperature. Over the last two decades several studies have been conducted and large amount of data have been generated. These data have been utilized in the present work to obtain optimized set of parameters through Mamdani fuzzy inference system. Ductility database were prepared and three parameters viz. alloy type, grain size and heat treatment cycle were selected for modeling. Additionally, ductility data were generated from literature for training and validation of models on the basis of linearity and considering the primary effect of these three parameters. All the data have been used to frame the fuzzy rules with its membership values. Performance of the models was evaluated, which shows model has better agreement with the data generated from observed data. Possibility of improving ductility more than 5% is observed for multicomponent alloy with grain size of 10-50μm using a multistep heat treatment cycle.

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Author information

Authors and Affiliations

  1. Materials and Mechanical Entity, VSSC, Trivandrum, 22, India

    R. K. Gupta, Bhanu Pant & P. P. Sinha

  2. National Institute of Hydrology, Roorkee, 247 667, India

    Rama Mehta

  3. Dept. of Met. & Mat. Engg., Indian IIT, Roorkee, 247 667, India

    Vijaya Agarwala

Authors
  1. R. K. Gupta
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  2. Bhanu Pant
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  3. P. P. Sinha
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  4. Rama Mehta
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  5. Vijaya Agarwala
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Correspondence to R. K. Gupta .

Editor information

Editors and Affiliations

  1. , Department of Mathematics, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Kusum Deep

  2. Department of Mathematics and, Computer Science, Liverpool Hope University, Hope Park, Liverpool, L16 9JD, United Kingdom

    Atulya Nagar

  3. , Department of Paper Technology, Indian Institute of Technology Roorkee, Uttarakhand, Roorkee, 247667, India

    Millie Pant

  4. Information Technology and Management, ABV-Indian Institute of, 109, E- Block, Gwalior, 474010, India

    Jagdish Chand Bansal

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Gupta, R.K., Pant, B., Sinha, P.P., Mehta, R., Agarwala, V. (2012). Study on Ductility of Ti Aluminides Using Mamdani Fuzzy Inference System. In: Deep, K., Nagar, A., Pant, M., Bansal, J. (eds) Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011. Advances in Intelligent and Soft Computing, vol 130. Springer, India. https://doi.org/10.1007/978-81-322-0487-9_2

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  • DOI: https://doi.org/10.1007/978-81-322-0487-9_2

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  • Publisher Name: Springer, India

  • Print ISBN: 978-81-322-0486-2

  • Online ISBN: 978-81-322-0487-9

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