Optimizing robotic welding parameter of single passed butt joint under simultaneous consideration of multiple response using multi objective taguchi method

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...

Full description

Bibliographic Details
Published in:Advanced Materials Research
Main Author: Rahim M.R.A.; Manurung Y.H.P.; Jaafar R.; Sunhaji K.A.; Tham G.; Redza M.R.; Lidam R.N.A.; Sulaiman S.; Noasiah M.; Amirul R.
Format: Conference paper
Language:English
Published: 2012
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84869424030&doi=10.4028%2fwww.scientific.net%2fAMR.576.177&partnerID=40&md5=728af68e3d570e40bfcc4d59bc8dd467
Description
Summary: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. © (2012) Trans Tech Publications, Switzerland.
ISSN:10226680
DOI:10.4028/www.scientific.net/AMR.576.177