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MAY 2013 - Volume: 88 - Pages: 318-324
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ABSTRACT: This paper presents a study to evaluate the relationship between the tool design and vibro-acoustic signals of friction stir welding process in the aluminum AA1050. The characterization in time and frequency domains of vibro-acoustical signal and the statistical analysis have been carried out in order to correlate them with the design of two different tools. Vibro-acoustical signals have been filtered in order to eliminate the noise of the friction stir welding machine. Additionally, the wavelet transform has been used as an efficient tool for filtering vibration signal waveforms. The statistical analysis has confirmed that the vibro-acoustical signals were significantly affected by the tool design. Finally, it has been demonstrated that vibro-acoustical signals generated by this process can be efficiently used to characterize the effect of parameters and tool design.Keywords: Friction stir welding, vibration, signal processing, Aluminum, tool design, wavelet transform.
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