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Defect identification in friction stir welding using continuous wavelet transform

Author

Listed:
  • Shilpi Kumari

    (Birla Institute of Technology, Mesra)

  • Rahul Jain

    (Indian Institute of Technology)

  • Ujjwal Kumar

    (Birla Institute of Technology, Mesra)

  • Inderjeet Yadav

    (Birla Institute of Technology, Mesra)

  • Nitin Ranjan

    (Birla Institute of Technology, Mesra)

  • Kanchan Kumari

    (Indian Institute of Technology)

  • Ram Kumar Kesharwani

    (Indian Institute of Technology)

  • Sachin Kumar

    (Indian Institute of Technology)

  • Srikanta Pal

    (Birla Institute of Technology, Mesra)

  • Surjya K. Pal

    (Indian Institute of Technology)

  • Debashish Chakravarty

    (Indian Institute of Technology)

Abstract

The manuscript reports on detection of defect that arises during friction stir welding using continuous wavelet transform (CWT) on force signal. The vertical force during welding undergoes sudden change due to presence of defects. These localized defects are detected accurately with the help of continuous wavelet transform scalogram (CWT coefficients’ gray scale image). Statistical feature of variance is used on scale of 1 of transformed signal to localize the defects. The experiments of welding are conducted on the work piece of AA 1100 with varying tool rotational speed (1000, 2000, 3000 rpm) and transverse velocity (50, 75 and 125 mm/min). The manuscript also presents the comparison of results obtained using discrete wavelet transform and CWT of force signals and shows better localization and determination of degree of defect are possible through CWT analysis.

Suggested Citation

  • Shilpi Kumari & Rahul Jain & Ujjwal Kumar & Inderjeet Yadav & Nitin Ranjan & Kanchan Kumari & Ram Kumar Kesharwani & Sachin Kumar & Srikanta Pal & Surjya K. Pal & Debashish Chakravarty, 2019. "Defect identification in friction stir welding using continuous wavelet transform," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 483-494, February.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:2:d:10.1007_s10845-016-1259-1
    DOI: 10.1007/s10845-016-1259-1
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    Cited by:

    1. Dawei Zhao & Mikhail Ivanov & Yuanxun Wang & Wenhao Du, 2021. "Welding quality evaluation of resistance spot welding based on a hybrid approach," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1819-1832, October.

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