Optimisation of the weld bead geometry in gas tungsten arc welding by the Taguchi method

Tarng, Y.S.; Yang, Wen-Hsi

doi:10.1007/bf01301698

Cited by 170 publications

(58 citation statements)

References 4 publications

(3 reference statements)

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“…Juang and Tarng [16] have adopted a modified Taguchi method to analyse the effect of each welding process parameter (arc gap, flow rate, welding current and speed) on the weld pool geometry (front and back height, front and back width) and then to determine the TIG welding process parameters combination associated with the optimal weld pool geometry. Tarng and Yang [17] reported on the optimization of weld bead geometry in GTAW by using the Taguchi method. Tarng et al [18] applied the modified Taguchi method to determine the process parameters for optimum weld pool geometry in TIG welding of stainless steel.…”

Section: Introductionmentioning

confidence: 99%

Parametric optimization of MIG welding on 316L austenitic stainless steel by Taguchi method

Ghosh¹,

Pal²,

Nandi³

2016

Archives of Materials Science and Engineering

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Purpose: Taguchi design has been adopted in order to identify optimal parametric combination for desired quality of weld. Design/methodology/approach: A plan of experiments based on Taguchi technique has been used. An orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) are employed to study the welding characteristics of material & optimize the welding parameters. Findings: The welding investigators have always been in search for better quality of weldment. In present work, effect of current, gas flow rate and nozzle to plate distance on quality of weld in metal gas arc welding of Austenitic stainless steel AISI 316L has been studied through experiment and analyses. Butt welded joints have been made by several levels of current, gas flow rate and nozzle to plate distance. The result computed is in form of contribution from each parameter, through which optimal parameters are identified for maximum tensile strength and percentage elongation. Research limitations/implications: The main objective of the present study was to apply the Taguchi method to establish the optimal set of control parameters for the welding. The Taguchi method is employed to determine the optimal combination of design parameters, including: current, gas flow rate and nozzle to plate distance. Practical implications: Weld quality mainly depends on features of bead geometry, mechanical-metallurgical characteristics of the weld as well as on various aspects of weld chemistry and these features are expected to be greatly influenced by various input parameters like current, voltage, electrode stick-out, gas flow rate, edge preparation, position of welding, welding speed and many more in metal inert gas (MIG) welding. Moreover, the cumulative effect of the mentioned quality indices determines the extent of joint strength that should meet the functional aspects of the weld in practical field of application. Therefore, preparation of a satisfactory good quality weld seems to be a challenging job. Originality/value: The result computed is in form of contribution from each parameter, through which optimal parameters are identified for maximum tensile strength and percentage elongation. This paper presents new results of optimization using Taguchi method.

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Section: Introductionmentioning

confidence: 99%

Parametric optimization of MIG welding on 316L austenitic stainless steel by Taguchi method

Ghosh¹,

Pal²,

Nandi³

2016

Archives of Materials Science and Engineering

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“…This method is valuable when process parameters are qualitative and discrete. The parameter design based on the Taguchi method can optimize the quality characteristics through the settings of process parameters and reduce the sensitivity of the system performance to the sources of variation [8]. In fact, Taguchi method had been designed to optimize a single quality characteristic.…”

Section: Introductionmentioning

confidence: 99%

Process Parameters Optimization of an Aluminium Alloy with Pulsed Gas Tungsten Arc Welding (GTAW) Using Gas Mixtures

Kumar¹,

Kolhe²,

Morey³

et al. 2011

MSA

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“…6 This technique, in combination with regression analysis, has been applied to define the process parameters of the SAW process. 7 Multiple regression analysis [8][9][10][11] was used to predict the process parameters for gas metal arc welding. However, application of these techniques is limited due to difficulties in modeling, time consumption, and efficiency.…”

Section: Introductionmentioning

confidence: 99%

Optimization of welding parameters using a genetic algorithm: A robotic arm–assisted implementation for recovery of Pelton turbine blades

Pozo

2015

Advances in Mechanical Engineering

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This work presents the operational optimization of a welding operation involving using genetic algorithms. The welding curves correspond to the profile of a blade-shaped Pelton turbine. The procedure involved the development of a series of tests and observation of the parameters that will be controlled during the welding process. After the tests were performed, the samples were prepared for chemical attack, which allowed observation of the penetration, weld area, and dilution. After that, mathematical models were developed that correlate the controllable welding parameters with the aforementioned bead parameters. In those mathematical models, the optimization of the process parameters was performed using genetic algorithms. Specially programmed functions for mutation, reproduction, and initialization processes were written and used in the implemented model. After the optimization process was completed, the results were evaluated through new tests to verify whether the obtained objective functions properly describe the characteristics of the weld. The comparisons showed errors of less than 6%.

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Optimisation of the weld bead geometry in gas tungsten arc welding by the Taguchi method

Cited by 170 publications

References 4 publications

Parametric optimization of MIG welding on 316L austenitic stainless steel by Taguchi method

Parametric optimization of MIG welding on 316L austenitic stainless steel by Taguchi method

Process Parameters Optimization of an Aluminium Alloy with Pulsed Gas Tungsten Arc Welding (GTAW) Using Gas Mixtures

Optimization of welding parameters using a genetic algorithm: A robotic arm–assisted implementation for recovery of Pelton turbine blades

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