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Proceedings Paper

Detection and assessment of flaws in friction stir welded metallic plates
Author(s): Mohammad Ali Fakih; Samir Mustapha; Jaafar Tarraf; Georges Ayoub; Ramsey Hamade
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Paper Abstract

Investigated is the ability of ultrasonic guided waves to detect flaws and assess the quality of friction stir welds (FSW). AZ31B magnesium plates were friction stir welded. While process parameters of spindle speed and tool feed were fixed, shoulder penetration depth was varied resulting in welds of varying quality.

Ultrasonic waves were excited at different frequencies using piezoelectric wafers and the fundamental symmetric (S0) mode was selected to detect the flaws resulting from the welding process. The front of the first transmitted wave signal was used to capture the S0 mode. A damage index (DI) measure was defined based on the amplitude attenuation after wave interaction with the welded zone. Computed Tomography (CT) scanning was employed as a nondestructive testing (NDT) technique to assess the actual weld quality. Derived DI values were plotted against CT-derived flaw volume resulting in a perfectly linear fit. The proposed approach showed high sensitivity of the S0 mode to internal flaws within the weld. As such, this methodology bears great potential as a future predictive method for the evaluation of FSW weld quality.

Paper Details

Date Published: 12 April 2017
PDF: 9 pages
Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101682L (12 April 2017); doi: 10.1117/12.2258701
Show Author Affiliations
Mohammad Ali Fakih, American Univ. of Beirut (Lebanon)
Samir Mustapha, American Univ. of Beirut (Lebanon)
Jaafar Tarraf, American Univ. of Beirut (Lebanon)
Georges Ayoub, Univ. of Michigan-Dearborn (United States)
Ramsey Hamade, American Univ. of Beirut (Lebanon)

Published in SPIE Proceedings Vol. 10168:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
Jerome P. Lynch, Editor(s)

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