Abstract
Plasma arc welding (PAW) of Inconel 617 plates is an important and critical process for many engineering applications such as combustion cans, high-temperature nuclear reactors, and transition liners in aircraft due to its high depth-to-width ratio. Therefore, finding the combination of optimal input process parameters of the said welding process is an essential task to be carried out before employing it in various applications. In the present study, bead-on-plate (BoP) trails of PAW are performed on Inconel 617 plates after conducting the experiments designed based on the central composite design of experiments (CCD). During experimentation, welding speed, welding current, and gas flow rate are considered as input process parameters, and bead width and bead height of BoP trails are treated as responses of the PAW process. The nonlinear regression equations developed for both the bead width and bead height are optimized with the help of two population-based optimization algorithms, namely genetic algorithm (GA) and invasive weed optimization (IWO) algorithms.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Babu KK, Panneerselvam K, Sathiya P, Haq AN, Sundarrajan S, Mastanaiah P, Murthy CS (2018) Parameter optimization of friction stir welding of cryorolled AA2219 alloy using artificial neural network modeling with genetic algorithm. Int J Adv Manuf Technol 94(9–12):3117–3129
Nagaraju S, Vasantharaja P, Chandrasekhar N, Vasudevan M, Jayakumar T (2016) Optimization of welding process parameters for 9Cr-1Mo steel using RSM and GA. Mater Manuf Processes 31(3):319–327
Pal S, Pal SK, Samantaray AK (2010) Determination of optimal pulse metal inert gas welding parameters with a neuro-GA technique. Mater Manuf Processes 25(7):606–615
Satpathy MP, Moharana BR, Dewangan S, Sahoo SK (2015) Modeling and optimization of ultrasonic metal welding on dissimilar sheets using fuzzy based genetic algorithm approach. Eng Sci Technol Int J 18(4):634–647
Kanigalpula PKC, Pratihar DK, Jha MN, Derose J, Bapat AV, Pal AR (2016) Experimental investigations, input-output modeling and optimization for electron beam welding of Cu-Cr-Zr alloy plates. Int J Adv Manuf Technol 85(1–4):711–726
Vasudevan M, Bhaduri AK, Raj B, Rao KP (2007) Genetic-algorithm-based computational models for optimizing the process parameters of A-TIG welding to achieve target bead geometry in type 304 L (N) and 316 L (N) stainless steels. Mater Manuf Processes 22(5):641–649
Dey V, Pratihar DK, Datta GL, Jha MN, Saha TK, Bapat AV (2009) Optimization of bead geometry in electron beam welding using a genetic algorithm. J Mater Process Technol 209(3):1151–1157
Kim D, Rhee S, Park H (2002) Modelling and optimization of a GMA welding process by genetic algorithm and response surface methodology. Int J Prod Res 40(7):1699–1711
Meran C (2006) Prediction of the optimized welding parameters for the joined brass plates using genetic algorithm. Mater Des 27(5):356–363
Correia DS, Gonçalves CV, da Cunha Jr SS, Ferraresi VA (2005) Comparison between genetic algorithms and response surface methodology in GMAW welding optimization. J Mater Process Technol 160(1):70–76
Mehrabian AR, Lucas C (2006) A novel numerical optimization algorithm inspired from weed colonization. Ecol Inform 1(4):355–366
Pourjafari E, Mojallali H (2012) Solving nonlinear equations systems with a new approach based on invasive weed optimization algorithm and clustering. Swarm Evol Comput 4:33–43
Dhinakaran V, Shanmugam NS, Sankaranarayanasamy K (2017) Experimental investigation and numerical simulation of weld bead geometry and temperature distribution during plasma arc welding of thin Ti-6Al-4V sheets. J Strain Anal Eng Des 52(1):30–44
Dhinakaran V, Shanmugam NS, Sankaranarayanasamy K (2017) Some studies on temperature field during plasma arc welding of thin titanium alloy sheets using parabolic Gaussian heat source model. Proc Inst Mech Eng Part C J Mech Eng Sci 231(4):695–711
Pratihar DK (2014) Soft computing: fundamentals and applications. Alpha Science International Ltd., Oxford, U.K
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Srinivas, K., Vundavilli, P.R., Manzoor Hussain, M. (2019). Optimization of Weld-Bead Parameters of Plasma Arc Welding Using GA and IWO. In: Hiremath, S., Shanmugam, N., Bapu, B. (eds) Advances in Manufacturing Technology. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6374-0_3
Download citation
DOI: https://doi.org/10.1007/978-981-13-6374-0_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6373-3
Online ISBN: 978-981-13-6374-0
eBook Packages: EngineeringEngineering (R0)