Establishing Correlation Between Current and Voltage Signatures of the Arc and Weld Defects in GMAW Process

Author:

Sumesh A.ORCID,Rameshkumar K.,Raja A.,Mohandas K.,Santhakumari A.,Shyambabu R.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference36 articles.

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3. Zhiyong, L.; Bao, W.; Jingbin, D.: Detection of GTA welding quality and disturbance factors with spectral signal of arc light. J. Mater. Process. Technol. 209, 4867–4873 (2009)

4. Pal, S.; Pal, S.K.; Samantaray, A.K.: Artificial neural network modeling of weld joint strength prediction of a pulsed metal inert gas welding process using arc signals. J. Mater. Process. Technol. 2(02), 464–474 (2008)

5. Acherjee, B.; Mondal, S.; Tudu, B.; Misra, D.: Application of artificial neural network for predicting weld quality in laser transmission welding of thermoplastics. J. Appl. Soft Comput. 11, 2548–2555 (2011)

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