Abstract
This paper presents an alternative method to optimize process parameters of resistance spot welding (RSW) towards weld zone development. The optimization approach attempts to consider simultaneously the multiple quality characteristics, namely weld nugget and heat affected zone (HAZ), using multi-objective Taguchi method (MTM). The experimental study was conducted for plate thickness of 1.5 mm under different welding current, weld time and hold time. The optimum welding parameters were investigated using the Taguchi method with L9 orthogonal array. The optimum value was analyzed by means of MTM, which involved the calculation of total normalized quality loss (TNQL) and multi signal to noise ratio (MSNR). A significant level of the welding parameters was further obtained by using analysis of variance (ANOVA). Furthermore, the first order model for predicting the weld zone development is derived by using response surface methodology (RSM). Based on the experimental confirmation test, the proposed method can be effectively applied to estimate the size of weld zone, which can be used to enhance and optimized the welding performance in RSW or other application.
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References
A. G. Thakur and V. M. Nandedkar, Application of Taguchi method to determine resistance spot welding conditions of austenitic stainless steel AISI 304, Journal of Scientific & Industrial Research, 69 (2010) 680–683.
U. Esme, Application of Taguchi method for the optimization of resistance spot welding process, The Arabian Journal for Science and Engineering, 34 (2009) 519–528.
S. M. Darwish and S. D. Al-Dekhial, Statistical models for spot welding of commercial aluminum sheets, Int Journal of Machine Tools & Manufacture, 39 (1999) 1589–1610.
H. Rowlands and J. Antony, Application of design of experiments to a spot welding process, Assembly Automation, 23 (2003) 273–279.
J. Antony, Simultaneous optimisation of multiple quality characteristics in manufacturing processes using Taguchi’s Quality Loss Function, Int Journal Adv Manufacturing Technology, 17 (2001) 134–138.
A. K. Dubey and V. Yadava, Multi-objective optimisation of laser beam cutting process, Optics & Laser Technology, 40 (2008) 562–570.
A. K. Dubey and V. Yadava, Multi-objective optimisation of Nd:YAG laser cutting of nickel-based superalloy sheet using orthogonal array with principal component analysis, Optics & Laser Technology, 46 (2008) 124–132.
J. S. Kwak, Application of Taguchi and response surface methodologies for geometric error in surface grinding process, Int. Journal of Machine Tools & Manufacture, 45 (2005) 327–334.
S. Fraley, M. Oom, B. Terrien and J. Z. Date, Design of experiments via Taguchi methods: orthogonal arrays, The michigan chemical process dynamic and controls open text book, USA (2006).
J. S. Son, I. S. Kim, H. H. Kim, I. J. Kim, B. Y. Kang and H. J. Kim, A study on the prediction of bead geometry in the robotic, Journal of Mechanical Science and Technology, 21 (2007) 1726–1731.
S. C. Juang and Y. S. Tarng, Process parameter selection for optimization the weld pool geometry in the tungsten inert gas welding of stainless steel, Journal of Material Processing Technology, 122 (2002) 33–37.
V. Gunaraj and N. Murugan, Application of response surface methodology for predicting weld bead quality in submerged arc welding of pipes, Journal of Mechanical Processing Technology, 88 (1999) 266–275.
S. Raissi and R. E. Farsani, Statistical process optimization through multi-response surface methodology, World Academy of Science, Engineering and Technology, 51 (2009) 267–271.
Y. H. P. Manurung, N. Muhammad, E. Haruman, S. K. Abas, G. Tham, K. M. Salleh and C. Y. Chau, Investigation on weld nugget and HAZ development of resistance spot welding using SYSWELD’s customized electrode meshing and experimental verification, Asian Journal of Industrial Engineering, 2 (2010) 63–71.
M. Hamedi and H. Pashazadeh, Numerical study of nugget formation in resistance spot welding, International Journal of Mechanics, 2 (2008) 11–15.
N. Aslan, Multi-objective optimization of some process parameters of a multi-gravity separator for chromite concentration, Separation and Purification Technology, 64 (2008) 237–241.
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Recommended by Associate Editor Vikas Tomar
Yupiter HP Manurung is currently an Associate Professor at Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM) Malaysia. He received his BSc. in Manufacturing Technology from University of Applied Sciences GSO Nueremberg, Germany and his MSc. as well as Ph.D in Manufacturing Technology from University O-v-G Magdeburg, Germany. He also obtained International/European/German Welding Engineer (IWE/EWE/SFI) from SLV Halle, Germany and Laser Technology from University Jena, Germany. His research interests include Advanced Manufacturing Technology and Simulation, Advanced Welding Technology and Simulation and Quality & Reliability Engineering.
Norasiah Muhammad is currently a Ph.D student in Mechanical Engineering at the Universiti Teknologi MARA (UiTM) Malaysia. She received her BSc. in Material Engineering in 2000 and MSc. in Material Engineering in 2001 from Universiti Sains Malaysia (USM).
Esa Haruman is currently a lecturer at Bakrie University, Jakarta, Indonesia. He was formerly Associate Professor at Faculty of Mechanical Engineering, Universiti Teknologi MARA (UiTM) Malaysia. He received his BSc. in Material Science and Metallurgy from University of Indonesia and his MSc. and Ph.D in Metallurgical Manufacturing from University of Birmingham UK. His research interests include Advanced Materials, Manufacturing Process, Heat Treatment and Surface Engineering.
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Muhammad, N., Manurung, Y.H.P., Hafidzi, M. et al. Optimization and modeling of spot welding parameters with simultaneous multiple response consideration using multi-objective Taguchi method and RSM. J Mech Sci Technol 26, 2365–2370 (2012). https://doi.org/10.1007/s12206-012-0618-x
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DOI: https://doi.org/10.1007/s12206-012-0618-x