Optimization of mechanical behaviour of TIG welded 316 stainless steel using Taguchi based grey relational analysis method

Vinoth, V.; Sudalaimani, R.; Ajay, C; Kumar, C. Suresh

doi:10.1016/j.matpr.2020.12.1002

Cited by 10 publications

(6 citation statements)

References 7 publications

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“…After statistical analysis of data obtained from the experimental study, the regression equations are given by Equations ( 5)- (7), developed for TIG welding process modeling. These equations explain logical relationships between input variables and responses.…”

Section: Optimizationmentioning

confidence: 99%

“…They investigated the effect of input factors on tensile strength, impact strength, and corrosion rate as responses. Optimum factors obtained 150 A for current, 190 mm/min for welding speed and 15 L/min for gas flow rate using the Taguchi method [7]. Saravana Kumar et al, in 2020, conducted research to simulate the hybrid welding of stainless steel.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Experimental and Numerical Analysis on TIG Arc Welding of Stainless Steel Using RSM Approach

Karganroudi

Moradi

Attar

et al. 2021

Metals

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This study involves the validating of thermal analysis during TIG Arc welding of 1.4418 steel using finite element analyses (FEA) with experimental approaches. 3D heat transfer simulation of 1.4418 stainless steel TIG arc welding is implemented using ABAQUS software (6.14, ABAQUS Inc., Johnston, RI, USA), based on non-uniform Goldak’s Gaussian heat flux distribution, using additional DFLUX subroutine written in the FORTRAN (Formula Translation). The influences of the arc current and welding speed on the heat flux density, weld bead geometry, and temperature distribution at the transverse direction are analyzed by response surface methodology (RSM). Validating numerical simulation with experimental dimensions of weld bead geometry consists of width and depth of penetration with an average of 10% deviation has been performed. Results reveal that the suggested numerical model would be appropriate for the TIG arc welding process. According to the results, as the welding speed increases, the residence time of arc shortens correspondingly, bead width and depth of penetration decrease subsequently, whilst simultaneously, the current has the reverse effect. Finally, multi-objective optimization of the process is applied by Derringer’s desirability technique to achieve the proper weld. The optimum condition is obtained with 2.7 mm/s scanning speed and 120 A current to achieve full penetration weld with minimum fusion zone (FZ) and heat-affected zone (HAZ) width.

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Section: Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Analysis on TIG Arc Welding of Stainless Steel Using RSM Approach

Karganroudi

Moradi

Attar

et al. 2021

Metals

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“…Prajapati et al (2020) reported that the gray relation with fuzzy interface technique is an effective method for finding the optimum parameters for multiple responses of Heat Affected Zone (HAZ), depth of penetration, bead width and regulated metal deposition of MIG welding of low alloy steel. Vinoth et al (2021) fabricated Tungesten Inert Gas Welding (TIG) welding of 3 mm 316 stainless sheets using Taguchi-based gray relational analysis to find the optimum process parameters for combined maximum tensile strength and impact strength and minimum corrosion rate responses. Similarly, the gray-based Taguchi methodology was used for process parameters optimization on MIG welding of 316 SS by Ghosh et al (2016).…”

Section: Introductionmentioning

confidence: 99%

Multicriteria decision-making for optimization of welding parameters in cold metal transfer and pulse metal-inert gas weld bead of AA2099-T86 alloy using CRITIC and ROV methods

Singh,

Yuvaraj,

Wattal

2024

MMMS

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PurposeThe criteria importance through intercriteria correlation (CRITIC) and range of value (ROV) combined methods were used to determine a single index for all multiple responses.Design/methodology/approachThis paper used cold metal transfer (CMT) and pulse metal-inert gas (MIG) welding processes to study the weld-on-bead geometry of AA2099-T86 alloy. This study used Taguchi's approach to find the optimal setting of the input welding parameters. The welding current, welding speed and contact-tip-to workpiece distance were the input welding parameters for finding the output responses, i.e. weld penetration, dilution and heat input. The L9 orthogonal array of Taguchi's approach was used to find out the optimal setting of the input parameters.FindingsThe optimal input welding parameters were determined with combined output responses. The predicted optimum welding input parameters were validated through confirmation tests. Analysis of variance showed that welding speed is the most influential factor in determining the weld bead geometry of the CMT and pulse MIG welding techniques.Originality/valueThe heat input and weld bead geometry are compared in both welding processes. The CMT welding samples show superior defect-free weld beads than pulse MIG welding due to lesser heat input and lesser dilution.

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“…Scholars have studied the in uences of welding parameters on the mechanical properties of welded joints to improve welding performance. Vinoth et al [3] explored the effects of process parameters on tensile strength, impact strength, and corrosion rate based on the Taguchi experimental design. The welding current is the main factor affecting the tensile strength, and the welding current and speed are the main factors affecting the impact strength and corrosion rate.…”

Section: Introductionmentioning

confidence: 99%

Welding Penetration and Mechanical Properties of Welded Joints of V-shaped Surface Grooves

Feng¹,

Weng²,

Yao

et al. 2022

Preprint

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The work focused on the forming quality of surface-groove backing welds of gas metal arc welding (GMAW). The Box-Behnken design in response surface methodology (RSM) was used to explore the effects of welding voltages, welding currents, welding speeds, and surface radians on the properties of welded joints. The mathematical model was established among process parameters and response indices of welded joints. Experimental results showed that the unmelted gap decreased with the increased welding voltage, welding current, welding speed, and surface radian. Tensile strength increased with the increased welding voltage and welding speed and decreased after increasing with the increased surface radian. Elongation first increased and then decreased with the increased welding voltage, welding speed, and surface radian. Optimal process parameters were obtained by minimizing the unmelted gap and maximizing the tensile strength and elongation: welding voltage = 32 V; welding current = 224 A; welding speed = 32 cm/min; surface radian = 14/36π rad. The errors of the unmelted gap, tensile strength, and elongation were 1.71%, 5.69%, and 1.27%, respectively, by comparing the predicted and actual values. Research results have essential theoretic guidance for improving the penetration and mechanical properties of complex surface grooves welded joints.

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Optimization of mechanical behaviour of TIG welded 316 stainless steel using Taguchi based grey relational analysis method

Cited by 10 publications

References 7 publications

Experimental and Numerical Analysis on TIG Arc Welding of Stainless Steel Using RSM Approach

Experimental and Numerical Analysis on TIG Arc Welding of Stainless Steel Using RSM Approach

Multicriteria decision-making for optimization of welding parameters in cold metal transfer and pulse metal-inert gas weld bead of AA2099-T86 alloy using CRITIC and ROV methods

Welding Penetration and Mechanical Properties of Welded Joints of V-shaped Surface Grooves

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