A phase space approach to detecting volumetric defects in friction stir welding
- Boldsaikhan E. ,
- Bharat J. ,
- Logar A. ,
- et al
- Boldsaikhan E. ,
- Bharat J. ,
- Logar A. ,
- Corwin E. ,
- Janes M. and
- Arbegast W.
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Quantification approaches applied to phase space data generated from friction stir welding aluminium alloys under varying process conditions are reported. A multi-step, micro-wormhole, non-destructive evaluation phase-spaced, (PS) algorithm that combines aspects of the PS approach coupled with an estimate of the regularity of the material flow, is described. Investigations were conducted on the phase space and time domain representations of the feedback forces to characterise the material flow phenomenon of FSW. The data for the feedback forces were obtained from FSW of aluminium AA7075-T73 sheet of 3.175 mm thickness using regular cylindrical pin tools. Spindle speed was varied between 300 to 600 rpm. The data was compared with the PS based algorithm and also with a previously reported neural network and discrete Fourier transform algorithm using a probability of detection approach.
8th International Symposium, 18-20 May 2010, Session 6B: NDE & Qualification, Paper 02
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