Weld defect localization in friction stir welding process

D Mishra, S Shree, A Gupta, A Priyadarshi, SM Das… - Welding in the …, 2021 - Springer
… for defect identification. The signal analysis includes the application of discrete wavelet
Therefore, in this study, kurtosis of the DWT is considered for defect identification. The …

Friction Stir Welding of Two Dissimilar Metals: Weld Quality Characterization Using the Wavelet Transform Approach

A Mandal, A Banik, J Deb Barma… - Iranian Journal of Science …, 2023 - Springer
… by DWT (discrete wavelet transform) to continuously detect defects in friction stir welding. …
The present research focuses on applying discrete wavelet transform on spindle torque signal …

Detection of tunnel defects in friction stir welded aluminum alloy joints based on the in-situ force signal

W Guan, D Li, L Cui, D Wang, S Wu, S Kang… - Journal of Manufacturing …, 2021 - Elsevier
… The square of errors obtained from F z signal by continuous waveform transform (CWT)
can identify the defect location properly. In addition, discrete wavelet transform (DWT) was …

Variation mechanism of three-dimensional force and force-based defect detection in friction stir welding of aluminum alloys

J Dong, Y Huang, J Zhu, W Guan, L Yang, L Cui - Materials, 2023 - mdpi.com
… As a solid welding technology, friction stir welding had the advantages of small stress …
During friction stir welding (FSW), the heat generated by the friction between the stirring tool and …

A Critical Review on the Trends Toward Effective Online Monitoring of Defects in Friction Stir Welding of Aluminum Alloys

SA Babalola, N Kumar, S Dutta, NC Murmu… - Recent Trends in …, 2021 - Springer
… such as friction stir spot welding (FSSW), assisted friction stir welding (AFSW), stationary
shoulder friction stir welding (SSFSW), friction stir channeling (FSC) and friction stir processing (…

[HTML][HTML] Deep learning approaches for force feedback based void defect detection in friction stir welding

P Rabe, A Schiebahn, U Reisgen - Journal of Advanced Joining Processes, 2022 - Elsevier
… Roberts used discrete wavelet decomposition of the process forces and then trained two
types of ANNs for classification. Decision Trees and K-nearest-neighbour algorithms were …

Prediction of Weld Defects in Underwater Friction Stir Welding of Dissimilar Materials

RP Mahto, A Dutta, D Mishra - International …, 2022 - asmedigitalcollection.asme.org
… In the present work, the discrete wavelet transformation, a signal processing approach
has been applied on the axial force and torque which decompose signals into detail and …

A Generalized Method for In-Process Defect Detection in Friction Stir Welding

JB Hunt, BA Mazzeo, CD Sorensen… - Journal of Manufacturing …, 2022 - mdpi.com
… inline welding process of force-based defect detection in FSW using PSD values calculated
from the welding … of the proposed methodology for defect detection in a variety of scenarios. …

Study on the relationship between welding force and defects in bobbin tool friction stir welding

Z Liu, W Guan, H Li, D Wang, L Cui - Journal of Manufacturing Processes, 2022 - Elsevier
friction stir welding (FSW), bobbin tool friction stir welding (BTFSW) is an advanced solid-state
welding technology that uses a … Instead of using a fixed backing plate, an additional …

Understanding process force transients with application towards defect detection during friction stir welding of aluminum alloys

D Franke, S Rudraraju, M Zinn… - Journal of Manufacturing …, 2020 - Elsevier
… The relationships between the amplitudes of the force transients and the size of the defects
generated in the friction stir welds contained in this study will be examined in-depth in a …