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Nondestructive detection of defects in friction stir welded lap joints using computed tomography
- Source :
- Materials & Design, Vol 162, Iss, Pp 10-23 (2019)
- Publication Year :
- 2019
- Publisher :
- Elsevier, 2019.
-
Abstract
- Based on computed tomography (CT), a method is developed for nondestructive detection of defects in friction stir welded (FSW) joints. Plates of AA6061-T6 and AA1050 are welded to produce short lap welds. Utilized is spindle speed of 1600 RPM and fifteen different tool feeds ranging from 25 to 1000 mm/min (dubbed welded cases #1 to #15). These joints are CT-scanned and DICOM images are produced for digitally sectioned zones within the welded joints. To demarcate metallic zones from defects, a threshold cutoff value for Hounsfield Unit (HU) is needed to create 2D segmented masks determining the periphery between metal pixels from air pixels. Otsu's thresholding selection method from grey-level histograms is utilized for this purpose. These cutoff values are found to vary slightly from one welded joint to another. From the 2D masks, 3D representations of the welded joints revealed the shapes, locations, and volumes of the detected defects. Cross-sectioning of welds is employed as a destructive test to corroborate the locations and areas of CT-detected defects. The results of the defect area analysis from the CT-scans are compared to the results from optical images obtained by computer vision (CV) in a pixel-based analysis. Keywords: Nondestructive testing, Friction stir welding, Computed tomography, Mask, Hounsfield, Defect
- Subjects :
- Materials science
Pixel
Mechanical Engineering
Acoustics
02 engineering and technology
Welding
010402 general chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Thresholding
0104 chemical sciences
law.invention
Lap joint
Mechanics of Materials
law
Hounsfield scale
Histogram
Destructive testing
lcsh:TA401-492
General Materials Science
lcsh:Materials of engineering and construction. Mechanics of materials
0210 nano-technology
Joint (geology)
Subjects
Details
- Language :
- English
- ISSN :
- 02641275
- Volume :
- 162
- Database :
- OpenAIRE
- Journal :
- Materials & Design
- Accession number :
- edsair.doi.dedup.....ccb6ccb73c1ac17e696d404bacb3538e