Optimizing Robotic Welding Parameter of Single Passed Butt Joint under Simultaneous Consideration of Multiple Response Using Multi Objective Taguchi Method

Abstract:

This paper presents an alternative method to optimize parameters on single V butt welding. The effect of single-passed welding parameters such as current, voltage, welding speed and width of weaving movement on major welding defects by using a one-sided clamping method was investigated. The optimum parameter values were analyzed using Multi Objective Taguchi Methods (MTM) which started with the application of the common Taguchi methods (L8) Orthogonal Array (OA) and Total Normalized Quality Loss (TNQL) followed by ANOVA under simultaneous consideration of response weighting factors. Further, the value was analyzed by employing Multi Signal to Noise Ratio (MSNR). For the experimental study, a robotic welding system ABB IRB 2400/16 with digital welding power source KEMPPI Pro Evolution ProMIG 540 MXE with shielding gas Argon 80% and Carbon Dioxide 20% were applied. The material used is low carbon steel with 4 mm plate thickness. Based on the verification test result, it is found out that MTM can be used as an alternative method to investigate the optimum value of single passed welding parameter with multiple quality features.

• Periodical: Advanced Materials Research (Volume 576)
• Pages: 177-180
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.576.177
• Online since: October 2012
• Authors: Mohammad Ridzwan Abdul Rahim, Yupiter H.P. Manurung, Roseleena Jaafar, K.A. Sunhaji, Ghalib Tham, Mohd Ridhwan Mohammed Redza, Robert Ngendang A. Lidam, Shahar Sulaiman, M. Noasiah, R. Amirul
• Keywords: Design of Experiment (DOE), GMAW, MSNR, MTM, Robotic Welding, TNQL

References

[1] Mohammad Ridzwan Abdul Rahim, Yupiter H.P Manurung, Mohd Ridhwan Redza, Robert Ngendang Lidam, Mohd Shahar Sulaiman, Ghalib Tham, "Parametric investigation on butt and T-joint type using fully automated welding system," 3rd IGCESG UTM, November 2010.

DOI: 10.4028/www.scientific.net/amr.576.177

[2] Avanish Kumar Dubey, Vinod Yadava; "Multi-Objective optimization of laser beam cutting process", Optics & Laser Technology 40, 2008, 562-570.

DOI: 10.1016/j.optlastec.2007.09.002

[3] M.N Dhavlikar, M.S. Kulkarni, V. Mariappan, "Combine Taguchi and dual response method for optimization of a centerles grinding operation," Journal of Material Processing Technology 132, 2003, 90-94.

DOI: 10.1016/s0924-0136(02)00271-6

[4] Ranjit K. Roy, "Design of experiments using the Taguchi approach: 16 steps to product and process improvement," John Wiley & Sons, Inc 605 Third Avenue, New York 2001.