Prediction and Optimization of Weld Bead Geometry
Jigesh Yadav1, Manikant Paswan2
1Jigesh Yadav, Assistant Professor Department of Mechanical Engineering, Muzaffarpur Institute of Technology.
2Mani Kant Paswan, Professor Department of National Institute of Technology Jamshedpur.
Manuscript received on 07 August 2019 | Revised Manuscript received on 14 August 2019 | Manuscript published on 30 August 2019 | PP: 2735-2742 | Volume-8 Issue-10, August 2019 | Retrieval Number: J95640881019/2019©BEIESP | DOI: 10.35940/ijitee.J9564.0881019
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Bead geometry plays very important role in predicting the quality of weld as cooling rate of the weld depends on the height and bead width, also bead geometry determines it’s residual stresses and distortion. Weld bead geometries are outcomes of several welding parameters taken into consideration. If arc travel is high and arc power is kept low it will produce very low fusion. If electrode feed rate is kept higher width is also found to be on higher side which makes bead tto flat. Also, the parameters like current, voltage, arc travel rate, polarity affects weld bead geometry.
Hence, this paper uses techniques like ANN, linear regression and curvilinear regression for predictions of weld bead geometry and their relations with different weld parameters.
Keywords: Optimization If arc Travel is High and Arc Power Geometry
Scope of the Article: Discrete Optimization