Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30578
Study of the Effect of Inclusion of TiO2 in Active Flux on Submerged Arc Welding of Low Carbon Mild Steel Plate and Parametric Optimization of the Process by Using DEA Based Bat Algorithm

Authors: Sheetal Kumar Parwar, J. Deb Barma, A. Majumder


Submerged arc welding is a very complex process. It is a very efficient and high performance welding process. In this present study an attempt have been done to reduce the welding distortion by increased amount of oxide flux through TiO2 in submerged arc welding process. Care has been taken to avoid the excessiveness of the adding agent for attainment of significant results. Data Envelopment Analysis (DEA) based BAT algorithm is used for the parametric optimization purpose in which DEA is used to convert multi response parameters into a single response parameter. The present study also helps to know the effectiveness of the addition of TiO2 in active flux during submerged arc welding process.

Keywords: Optimization, design of experiment, bat algorithm, Submerged Arc Welding

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1422


[1] Rajput, R. K., “A Textbook of Manufacturing Technology”, 1st ed. Ed. New Delhi: Laxmi Publication, 2007, pp. 292.
[2] Wen, S. W., Hilton, P., & Farrugia, D. C. J. “Finite Element Modelling of a Submerged Arc Welding Process” Journal of Materials Processing Technology, 2001, Vol119(1),pp. 203-209.
[3] Aghakhani, M., Ghaderi, M. R., Karami, A., &Derakhshan, A. A.. “Combined Effect Of Tio2 Nanoparticles and Input Welding Parameters on the Weld Bead Penetration in Submerged Arc Welding Process using Fuzzy Logic”, The International Journal of Advanced Manufacturing Technology, 2014, Vol. 70(1-4),pp 63-72.
[4] Xu, Y. L., Dong, Z. B., Wei, Y. H., & Yang, C. L., “Marangoni Convection and Weld Shape Variation in A-TIG Welding Process”, Theoretical and Applied Fracture Mechanics”, 2007, Vol. 48(2), pp. 178-186.
[5] Lu, S., Fujii, H., Sugiyama, H., Tanaka, M., & Nogi, K., “Weld Penetration and Marangoni Convection with Oxide Fluxes in GTA Welding”, Materials Transactions, 2002, Vol. 43(11), pp. 2926-2931.
[6] Mahapatra, M. M., Datta, G. L., Pradhan, B., & Mandal, N. R. (2006). “Three-Dimensional Finite Element Analysis to Predict the Effects of SAW Process Parameters on Temperature Distribution and Angular Distortions in Single-Pass Butt Joints with Top and Bottom Reinforcements”. International Journal of Pressure Vessels and Piping”, 2006, Vol. 83(10), pp. 721-729.
[7] Tseng, K. H., & Chou, C. P. (2003),”The Study of Nitrogen in Argon Gas on the Angular Distortion of Austenitic Stainless Steel Weldments”. Journal of materials processing technology”, 2003, Vol. 142(1), pp. 139- 144.
[8] R. Y. M. Nakamura, L. A. M. Pereira, K. A. Costa, D. Rodrigues, J. P. Papa, “BBA: A Binary Bat Algorithm for Feature Selection”, Department of Computing S˜ao Paulo State University Bauru, Brazil.
[9] X. S. Yang, “A New Metaheuristic Bat-Inspired Algorithm, in: Nature Inspired Cooperative Strategies for Optimization”, (NISCO 2010) (Eds. J. R. Gonzalez et al.), Studies in Computational Intelligence, Springer Berlin, 2010, Vol. 284, Springer, pp. 65-74.
[10] Usha Reddy, V., Manoj, A., “Optimal Capacitor Placement for Loss Reduction in Distribution Systems Using Bat Algorithm”, IOSR Journal of Engineering (IOSRJEN), Volume 2, Issue 10 (October 2012), pp 23- 27.