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contributor authorMohanty, Uttam Kumar
contributor authorSharma, Abhay
contributor authorNakatani, Mitsuyoshi
contributor authorKitagawa, Akikazu
contributor authorTanaka, Manabu
contributor authorSuga, Tetsuo
date accessioned2019-02-28T11:02:39Z
date available2019-02-28T11:02:39Z
date copyright8/31/2018 12:00:00 AM
date issued2018
identifier issn1087-1357
identifier othermanu_140_11_111013.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252041
description abstractThe complexity in weld profile caused by abrupt change in polarity in square waveform welding is investigated through the development of a model capable to accurately predict weld profile. A semi-analytical model is conceived wherein characteristic attributes of a composite parabolic–elliptic function, which represent the weld profile, are obtained through nonlinear regression (NLR). The proposed model is demonstrated for its efficacy in the prediction of weld profile over a wide range of welding parameters, vis-à-vis, welding current, frequency, electrode negative (EN) ratio, and welding velocity. The investigation suggests that the center and outer cores of welding arc remains more active during positive and negative polarity, respectively, that leads to distinct macroscopic zones in weld cross section and thus, necessitates a composite profile for representation of weld profile. The intersection of the zones forms a metallurgical notch which the investigation offers a method to estimate and thus control. Unlike the convention continuous arc welding, the waveform arc welding caters welding at higher velocity without compromising the weld penetration and almost abolishing the metallurgical notch as well.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Semi-Analytical Nonlinear Regression Approach for Weld Profile Prediction: A Case of Alternating Current Square Waveform Submerged Arc Welding of Heat Resistant Steel
typeJournal Paper
journal volume140
journal issue11
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4040983
journal fristpage111013
journal lastpage111013-11
treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 011
contenttypeFulltext


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