Optimization of Welding Parameters and Microstructure and Fracture Mode Characterization of GMA Welding by Using Taguchi Method on SS304H Austenitic Steel

Rizvi, Saadat Ali; Ali, Wajahat

doi:10.2478/mme-2018-0088

Cited by 10 publications

(8 citation statements)

References 13 publications

(9 reference statements)

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“…The welding parameters were selected by reviewing different previous researches that were conducted on stainless steel materials using TIG welding. The analysis of variance (ANOVA) was used to determine which parameters had substantial impacts on responses [29]. In this paper, the most important process parameters of TIG welding that significantly enhanced the study's responses and were frequently employed for stainless steel materials were examined and identified.…”

Section: Selections Of Parameters and Orthogonal Arraymentioning

confidence: 99%

“…Because of the differences in scope and scale, the original data or S/N ratios in a data series must be normalized to produce a similar sequence. In this case, the S/ N ratios of hardness, ultimate tensile strength, and bending strength were preprocessed using the higher is the better normalization formula shown on equation (3) [33].…”

Section: Normalization Of Datamentioning

confidence: 99%

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Parameters optimization of tungsten inert gas welding process on 304L stainless steel using grey based Taguchi method

Linger

Bogale

2023

Eng. Res. Express

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Tungsten inert gas can be used to weld stainless steel due to its offering sound weld, narrow fusion zone, precise control weld’s shape and over penetration, spatter free, slagless, stable arc and low electrode wear. The goal of this study was to offer the best process parameters for improving the mechanical characteristics of the weld joint. The experimental analysis approach was applied in this work, and the experiment was carried out on 304L stainless steel using L16. The selected welding parameters were welding travel speed, current of welding, gas flow rate, arc length, and root gap. Rockwell hardness, tensile strength, and bending strength tests were the examined mechanical properties on the weld joint. Based on the grey based Taguchi method, the optimal level-settings of welding travel speed, current of welding, flow rate of gas, arc length, and root gap were obtained 2.7 mm s−1, 160 A, 14 l min−1, 3 mm, and 1 mm, respectively. The analysis result of ANOVA showed that the current has the greatest impact and it was followed by travel speed and root gap on weld joint quality with percentage contribution of 80.77%, 10.86%, and 5.98%, respectively. According to confirmation results, the average grey relational grade of 0.863 which was found between the confidence interval of 0.800 to 1.082 for the 95% confidence level, and the maximum Rockwell hardness, tensile strength and bending strength were obtained 101.38 HRB, 1425.8 MPa and 1648.6 MPa, respectively.

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Section: Selections Of Parameters and Orthogonal Arraymentioning

confidence: 99%

Section: Normalization Of Datamentioning

confidence: 99%

Parameters optimization of tungsten inert gas welding process on 304L stainless steel using grey based Taguchi method

Linger

Bogale

2023

Eng. Res. Express

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“…With the welding current from 160 to 240 A, the hardness of the weld area appears to decrease significantly. By using Taguchi techniques to improve welding parameters and fractures, [2] Rizvi and Ali (2018) were able to improve various welding parameters that affect the weldability of SS304H. The orthogonal array L9 is employed.…”

Section: Introductionmentioning

confidence: 99%

Parameter Impacts of Martensitic Structure on Tensile Strength and Hardness of TIG Welded SS410 with characterized SEM Consequences

2023

Teh. vjesn.

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Consuming various TIG welding settings, the impact of mechanical properties on the butt joint of 410-Martensitic Stainless Steel Plate is explored. Mechanical properties such as tensile strength and hardness are evaluated on the welded butt junction plates using three levels of 200 A, 220 A and 240 A welding currents and the electrode diameters of 1.5, 2 and 2.5 mm and four factor parameters of inputs. Welding current, wire feed rate, electrode diameter, and gas flow rate are set as input parameters. The optimal input responses of welding current, electrode diameter, wire feed rate, and gas flow rate are employed over the 27 sample specimens based on array L27 Design of Experiment tool. The input parameters 240 A of welding current have improved significantly over the structural changes on martensitic form which is evidenced by their multiple SEM Micrographs, as it can be seen in the Hardness up to maximum of 512 BHN and the Tensile strength of 1090 N/mm 2 outcomes.

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“…The authors noticed superior hardness values at higher welding speed and mean current. In another work related to MIG welding of SS 304 H, Rizvi et al 7 identified that gas flow rate is the most influential factor on the mechanical properties, followed by arc voltage and wire feed speed. Few authors explored the joining of SS 304 with filler materials and analysed the property variation with different filler materials.…”

Section: Introductionmentioning

confidence: 99%

Experimental studies and optimization of process parameters in laser welding of stainless steel 304 H

Selvaperumal

Thangaraju

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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The prime objective of this work is to find the best combination of parameters in laser welding of stainless-steel 304 H plates. CO2 laser welding was used to join 5 mm thick stainless-steel 304 H plates. Laser power, welding speed, and focal position were used as input parameters, and experiments were conducted on the basis of the Taguchi L27 matrix. The quality of the weld was analysed by measuring depth of penetration, bead width and hardness. The best parameter combination was found using artificial neural network and genetic algorithm. The Levenberg–Marquardt algorithm predicted output responses more accurately. A confirmatory test was carried out for the optimized parameters identified by the genetic algorithm. The percentage error between the experimental and predicted genetic algorithm values was below 6%. In comparison to the base metal, the optimized weld hardness was increased by 8%. The electron backscatter diffraction analysis of the optimized weld revealed the presence of a higher percentage of high-angle grain boundary than low-angle grain boundary.

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Optimization of Welding Parameters and Microstructure and Fracture Mode Characterization of GMA Welding by Using Taguchi Method on SS304H Austenitic Steel

Cited by 10 publications

References 13 publications

Parameters optimization of tungsten inert gas welding process on 304L stainless steel using grey based Taguchi method

Parameters optimization of tungsten inert gas welding process on 304L stainless steel using grey based Taguchi method

Parameter Impacts of Martensitic Structure on Tensile Strength and Hardness of TIG Welded SS410 with characterized SEM Consequences

Experimental studies and optimization of process parameters in laser welding of stainless steel 304 H

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