Application of vibroacoustic signals to evaluate tools profile changes in friction stir welding on AA 1050 H24 alloy

Abstract

This paper presents a study to evaluate the effect of the tool profile on friction stir welding (FSW) process in the aluminium AA 1050, using vibroacoustic signals. The vibroacoustic signals in Z and Y directions have been acquired by the AE instrument NI USB-9234. The characterisation in time and frequency domains and the statistical analysis of vibroacoustical signal have been carried out in order to correlate them with the design of two different tools. Statistical and temporal parameters of discomposed vibroacoustical signals using wavelet transform have been used for filtering vibration signal to eliminate the noise of the FSW machine and the extraction features of them. The analysis has confirmed that the vibroacoustical signals were significantly affected by changes in the tool profiles. Finally, it has been demonstrated that signals generated by this process can be effectively used to characterise the changes on tool design.

Wavelets Application in Prediction of Friction Stir Welding Parameters of Alloy Joints from Vibroacoustic ANN-Based Model

“…The FSW process was carried out using a CNC machine with displacement control [11]. The plates were butt-joined by FSW and locked in position using mechanical clamps.…”

“…It is characterized by a more precise representation of the behaviour of the phenomenon, but its high complexity must be considered in the analysis. Different works reported [7][8][9][10][11] show the application of nondestructive techniques (NDT) on the mechanical and manufacturing processes.…”

“…Fernández et al [11] demonstrated the feasibility of the application of AE for monitoring the FSW systems. The authors presented a method to evaluate the effect of the tool profile on friction stir welding process in the aluminium AA 1050, using acoustic emission signals.…”

“…All models based on ANN previously obtained for FSW are based on correlating the mechanical properties of the joint (tensile strength, hardness, etc.) [7,8,11] obtained from the mechanical tests and microstructural characteristics based on process parameters (tool rotation speed and travel speed) predefined.…”

Characterization of Thermally Regenerated Activated Carbons Used in Rum Production by Acoustic Emission Analysis, N2 and Ar Gas Adsorption

“…Bubbles and its corresponding sound patterns are in general widely studied, theoretically analyzed and applied in many scientific fields. The analysis of acoustic and vibrating signals to characterize mechanical events such as pump cavitation, cavity effects in gas-jet impingement propellers and stir spot welding process have proven to be accurate and sensitive techniques [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30].…”