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Weld defect localization in friction stir welding process

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Abstract

The article attempts to detect the defects in friction stir welding (FSW) process by analyzing the signal acquired during welding. The said welding technique utilizes pressure and heat developed by the usage of a non-consumable tool. Thus, the axial force signal carries a lot of information about the physical process, and hence, it could be used to identify the weld defects. Signal analysis has been performed by using wavelet-based techniques. Before this analysis, a methodology has been followed to select the best mother wavelets suitable for the signal. The results of defect identification have been validated by mapping the processed signal with the actual weld quality.

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Funding

This research is an outcome of the project funded by the Department of Heavy Industry of the Ministry of Heavy Industries & Public Enterprises, Government of India, and TATA Consultancy Services (Grant No: 12/4/2014 – HE&MT).

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Correspondence to Surjya K. Pal.

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Recommended for publication by Commission V - NDT and Quality Assurance of Welded Products

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Mishra, D., Shree, S., Gupta, A. et al. Weld defect localization in friction stir welding process. Weld World 65, 451–461 (2021). https://doi.org/10.1007/s40194-020-01028-5

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