• Login
    View Item 
    •   Shocker Open Access Repository Home
    • Office of Research
    • NIAR: National Institute for Aviation Research
    • NIAR Research Publications
    • View Item
    •   Shocker Open Access Repository Home
    • Office of Research
    • NIAR: National Institute for Aviation Research
    • NIAR Research Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    The use of neural network and discrete Fourier transform for real-time evaluation of friction stir welding

    Date
    2011-12
    Author
    Boldsaikhan, Enkhsaikhan
    Corwin, Edward M.
    Logar, Antonette M.
    Arbegast, William J.
    Metadata
    Show full item record
    Citation
    Enkhsaikhan Boldsaikhan, Edward M. Corwin, Antonette M. Logar, William J. Arbegast The use of neural network and discrete Fourier transform for real-time evaluation of friction stir welding Applied Soft Computing, v.11, no. 8, December 2011, pp. 4839–4846
    Abstract
    This paper introduces a novel real-time approach to detecting wormhole defects in friction stir welding in a nondestructive manner. The approach is to evaluate feedback forces provided by the welding process using the discrete Fourier transform and a multilayer neural network. It is asserted here that the oscillations of the feedback forces are related to the dynamics of the plasticized material flow, so that the frequency spectra of the feedback forces can be used for detecting wormhole defects. A one-hidden-layer neural network trained with the backpropagation algorithm is used for classifying the frequency patterns of the feedback forces. The neural network is trained and optimized with a data set of forge-load control welds, and the generality is tested with novel data set of position control welds. Overall, about 95% classification accuracy is achieved with no bad welds classified as good. Accordingly, the present paper demonstrates an approach for providing important feedback information about weld quality in real-time to a control system for friction stir welding.
    Description
    Click on the DOI link to access the article (may not be free)
    URI
    http://dx.doi.org/10.1016/j.asoc.2011.06.017
    http://hdl.handle.net/10057/5751
    Collections
    • NIAR Research Publications

    Browse

    All of Shocker Open Access RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy TypeThis CollectionBy Issue DateAuthorsTitlesSubjectsBy Type

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    DSpace software copyright © 2002-2023  DuraSpace
    DSpace Express is a service operated by 
    Atmire NV