Different Methods for Predicting and Optimizing Weld Bead Geometry with Mathematical Modeling and ANN Technique
Jigesh Yadav1, Manikant Paswan2
1Jigesh Yadav, Assistant Professor (Mechanical Engineering Department) at MIT Muzaffarpur, Research Scholar, (Mechanical Engineering Department) at NIT Jamshedpur.
2Manikant Paswan, Professor (Mechanical Engineering Department) at NIT Jamshedpur.
Manuscript received on 07 August 2019 | Revised Manuscript received on 14 August 2019 | Manuscript published on 30 August 2019 | PP: 2761-2766 | Volume-8 Issue-10, August 2019 | Retrieval Number: J95800881019/2019©BEIESP | DOI: 10.35940/ijitee.J9580.0881019
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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 its 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 is a review of different experimentations and modeling techniques regarding predictions of weld bead geometry and their relations with different weld parameters.
Keywords: Mathematical Modeling Geometry Techniques Regarding Predictions
Scope of the Article: Computational Geometry