Modeling of titanium alloys by using artificial neural networks

N.S. Reddy, J.H. Kim, Wei Sha, J.T. Yeom

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Titanium alloy exhibits an excellent combination of bio-compatibility, corrosion resistance, strength and toughness. The microstructure of an alloy influences the properties. The microstructures depend mainly on alloying elements, method of production, mechanical, and thermal treatments. The relationships between these variables and final properties of the alloy are complex, non-linear in nature, which is the biggest hurdle in developing proper correlations between them by conventional methods. So, we developed artificial neural networks (ANN) models for solving these complex phenomena in titanium alloys.

    In the present work, ANN models were used for the analysis and prediction of the correlation between the process parameters, the alloying elements, microstructural features, beta transus temperature and mechanical properties in titanium alloys. Sensitivity analysis of trained neural network models were studied which resulted a better understanding of relationships between inputs and outputs. The model predictions and the analysis are well in agreement with the experimental results. The simulation results show that the average output-prediction error by models are less than 5% of the prediction range in more than 95% of the cases, which is quite acceptable for all metallurgical purposes.
    Original languageEnglish
    Title of host publication2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC 2010)
    Subtitle of host publicationProceedings of a meeting held 28-29 December 2010, Coimbatore, India
    EditorsN. Krishnan
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers (IEEE) Computer Society
    Pages645-648
    Number of pages4
    Publication statusPublished - Dec 2010
    Event2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC 2010) - Coimbatore, India
    Duration: 01 Dec 201001 Dec 2010

    Conference

    Conference2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC 2010)
    CountryIndia
    CityCoimbatore
    Period01/12/201001/12/2010

    Keywords

    • Neural Networks
    • Titanium alloys
    • Beta transus temperature
    • Prediction

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