Identification of periodic defects due to material flow variations in FSW using post-weld data processing
- Doude H. ,
- Schneider J. ,
- Ma B. ,
- et al
- Doude H. ,
- Schneider J. ,
- Ma B. ,
- Du J. ,
- Patton B. and
- Waters T.
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Butt joints were fabricated in AA 2219-T87 aluminium alloy panels (thickness 6.35 mm) by friction stir welding (FSW), and force data collected during welding were analysed using an unsupervised matched filter technique to classify weldment segments and to identify periodic defect locations. FSW was conducted with different plunge routines and welding tools using an MTI (Manufacturing Technology Inc) Model RM1 machine. A National Instruments PXI 6123 data acquisition system was used to record tool force and torque data. Data processing incorporated principal component analysis as well as unsupervised matched filter analysis. Volumetric defects were detected in consolidated welded panels using scrolled shoulder, threaded pin welding tools. Variations in material flow correlating with changes in heat profile or volumetric defect formation are discussed.
9th International Symposium, 15-17 May 2012, Session 2B: Inspection, Paper 03
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