Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm

Vijayan, D.; Rao, V. Seshagiri

doi:10.1088/1757-899x/390/1/012066

Cited by 6 publications

(2 citation statements)

References 8 publications

(7 reference statements)

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“…It was observed that current and voltage had maximum effect on tensile strength in A-TIG welded joint. Vijay et al [23] optimized various process parameters in TIG weld on 4340 AISI steel. Taguchi L9 orthogonal array for experimental design and RSM technique was used for mathematical model and optimization of various parameters was done by using genetic algorithm.…”

Section: Introductionmentioning

confidence: 99%

Welding investigation of Hastelloy C-276 and parametric optimization using integrated MRA-TLBO algorithm during A-TIG process

Singh,

Singh

et al. 2024

Eng. Res. Express

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A-TIG welding is a modified form of GTAW process that has become popular due to its ability to create high-quality welded joints with minimal cracks and distortion. This technique is commonly used to join various metals, including stainless steel, aluminum, titanium, and nickel alloys like Hastelloy C-276, which is used in fabrication of complex components across marine, nuclear, aerospace, and chemical industries. In this investigation, A-TIG welding of Hastelloy C-276 was studied using three parameters welding current, welding speed, and gas flow rate at three distinct levels. The impact of these parameters were analyzed on two responses, namely penetration depth and width of weld. Macrostructural investigation, sensitivity analysis, and parametric studies revealed that welding current (I) had the most influence, followed by speed of welding (S) and flow rate of gas (G). Full quadratic multiple regression analysis-based models were developed for both responses, which were found to be suitable with a higher coefficient of determination and an average percentage error of 2.165% and 2.624%, respectively. Additionally, a teaching learning based optimization algorithm was integrated with these models to identify the most effective A-TIG parameter combination for higher penetration depth and lower weld width. This MRA-TLBO integrated approach resulted in an optimal parametric combination of I (170A), S (180mm/min), and G (11.37 l/min) that resulted in a penetration depth and weld width of 4.503 mm and 4.684 mm, respectively. Validation at this optimal setting showed an improvement of 3.365% and 1.284% for weld width and penetration depth, respectively, suggesting the robustness of the developed methodology.

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Section: Introductionmentioning

confidence: 99%

Welding investigation of Hastelloy C-276 and parametric optimization using integrated MRA-TLBO algorithm during A-TIG process

Singh,

Singh

et al. 2024

Eng. Res. Express

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“…TIG welding can weld a variety of materials with varying degrees of success by using a V or U notch to boost the specimen's hardness. In order to optimise a process parameter, several studies employed Taguchi and ANOVA techniques [4][5][6][7]. TIG welding was used to examine the specimens' hardness and microstructure in this work.…”

Section: Introductionmentioning

confidence: 99%

To Investigate the Weld Bead Hardness at Various Current through TIG Welding

Tiwari¹,

Verma²

2022

JFSA

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In the industrial industry, TIG welding is the most frequent method of putting metals together. The electrode is held at a 10°–15° angle to the vertical by the welder while he initiates the weld by striking an arc and creating a puddle. By moving the electrode and arc in tandem, the welder "pushes" the molten metal forward and toward weld. welder strength of a building is determined by the quality of its weld beads. The weld's mechanical qualities are mostly enhanced by the weld's quality. The writers of this article explain how to weld with high weld bead quality by using the proper welding parameters. In this research, it has been proven that the hardness of welded joints improves with the increase in welding current up to 110 A for 6 mm thick plates, and afterwards declines with the rise in welding current. Splash and damage to the workpiece could occur when the current is raised to an excessively high level. Because the workpiece is so thin, high current might cause the material gap to grow. This practise may result in an increased weld affected area and a longer time to deposit the same amount of filler material, as well as damage from high heat. Inverted microscopic analysis of the weld zone was performed in order to assess the effect of the welding parameters on the weld quality. As part of the TIG weld bead quality improvement process, dye penetration testing is performed.

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Effect of Current on the Hardness of Weld Bead Generated by TIG Welding on Mild Steel

Mahmood

Dwivedi

Yadav

2021

Lecture Notes in Mechanical Engineering

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Process Parameter Optimization in TIG Welding of AISI 4340 Low Alloy Steel Welds by Genetic Algorithm

Cited by 6 publications

References 8 publications

Welding investigation of Hastelloy C-276 and parametric optimization using integrated MRA-TLBO algorithm during A-TIG process

Welding investigation of Hastelloy C-276 and parametric optimization using integrated MRA-TLBO algorithm during A-TIG process

To Investigate the Weld Bead Hardness at Various Current through TIG Welding

Effect of Current on the Hardness of Weld Bead Generated by TIG Welding on Mild Steel

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