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Arc characterization study for submerged arc welding of HSLA (API X80) steel

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Abstract

The load bearing capacity of weld is highly influenced by the mode of metal transfer which in turn is dependent on welding current and arc voltage. This paper presents the results of V-I (voltage-current) transient investigation carried out for Submerged arc welding (SAW) of API X80 steel at three different levels of heat input (20 kJ/cm; 25 kJ/cm; 27 kJ/cm). Statistical analysis and Probability density distribution (PDD) curves of recorded V-I transient data are presented for arc voltage as well as welding current. Through this study, an attempt has been made to correlate PDD curves with the metal transfer characteristic of the welding arc. Work described in this paper paves the way to provide a feedback to achieve the online monitoring and automatic control of the weld quality.

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Correspondence to Satish Kumar Sharma.

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Recommended by Associate Editor Young Whan Park

Satish Kumar Sharma is working as Teaching Cum Research fellow (TRF) in the Division of Manufacturing Processes and Automation Engineering (MPAE) at Netaji Subhas Institute of Technology, Delhi which is affiliated to University of Delhi, India. He is pursuing his Ph.D. in the field of welding. His areas of research interest are conventional, nonconventional manufacturing processes and manufacturing automation.

Sachin Maheshwari is working as Professor and Head, MPAE Division, Netaji Subhas Institute of Technology, Delhi, India. He received his Ph.D. from Indian Institute of Technology, Delhi and his M. Tech. from Indian Institute of Technology, Roorkee, India after graduating from Motilal Nehru National Institute of Technology, Allahabad, India. His current research interests include conventional, non-conventional, hybrid manufacturing processes and manufacturing automation.

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Sharma, S.K., Maheshwari, S. Arc characterization study for submerged arc welding of HSLA (API X80) steel. J Mech Sci Technol 31, 1383–1390 (2017). https://doi.org/10.1007/s12206-017-0238-6

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  • DOI: https://doi.org/10.1007/s12206-017-0238-6

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