Investigation of TIG welding parameters to improve strength

Shrivas, Sharda Pratap; Vaidya, Sanjay; Khandelwal, Ashish; Vishvakarma, Amit Kumar

doi:10.1016/j.matpr.2020.02.416

Cited by 12 publications

(4 citation statements)

References 6 publications

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“…The relationship between various TIG welding variables such as welding speed, current, and shielding gas flow, and heat-affected zone width, have great influence on the residual stresses, and microstructural characteristics of AISI 304L thin pipe joints [11], [14]. The findings show that gas flow rate, welding current, and welding speed have a considerable impact on weld bead mechanical properties.…”

Section: Overview Of Tig Welding Processmentioning

confidence: 99%

Investigating the effect of TIG welding process variables on the mechanical properties of stainless steel-304 pipe welded joints

Yeshanew,

Mana

2024

Preprint

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Stainless steel weld joint quality optimization research has become necessary due to the rise in sudden welded pipe joint failure. The mechanical characteristics and weld quality are greatly influenced by the combined effect of controllable process parameters. This study sought to determine the ideal parameters and examine how tungsten inert gas welding process factors affected the mechanical characteristics of the stainless pipe weld joint. Welded features such as bead shape, size, and mechanical properties were studied related to the weld controllable factors in order to achieve the desired weld quality. Austenitic stainless-steel samples (AISI 304) having 90mm outer diameter and 5mm thick pipe was used for the study. Data were studied using analysis of variance to evaluate the effect of each factor and validated the model's suitability. The results show that the rate of gas flow had the greatest impact on the tensile strength and hardness, whereas the welding current had the main influential factor on the bending strength. Weld parameters were optimized by applying response surface methodology technic and validated using laboratory tests. According to the experiment, optimum weld parameters were 121.30amp, 14 Lit/min, and 2mm for current, gas flow, and root gap respectively. As a result of these parameters combination, optimized mechanical properties were determined including tensile strength of 1402.601N/mm2, hardness of 61.372HRA, and bending strength of 826.022Nm. The optimized parameters evolved from this research can be utilized in the fabrication process of TIG welding at the industries.

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Section: Overview Of Tig Welding Processmentioning

confidence: 99%

Investigating the effect of TIG welding process variables on the mechanical properties of stainless steel-304 pipe welded joints

Yeshanew,

Mana

2024

Preprint

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“…Parameters that must be considered in this welding process, namely: tool rotation, welding speed, pin shape, and penetration depth [ 13 ]. This welding parameter has a very important role to get a good quality of welded joints [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Double side friction stir welding effect on mechanical properties and corrosion rate of aluminum alloy AA6061

Priyasudana¹,

Crisdion²,

Puspitasari³

et al. 2023

Heliyon

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“…They discovered that the most important parameters were electric current, sheet thickness, and welding time, respectively. Sharda et al [16] employed DOE to maximize the welding strength of aluminum. Variations in process parameters, such as gas flow rate, base current, and electrode spacing, were considered to control quality.…”

Section: Introductionmentioning

confidence: 99%

“…Some parameters were kept constant, such as current, welding speed, and pulse frequency. It was observed that electric current, gas flow rate, and electrode spacing had a certain influence on tensile strength and material Energies 2023, 16, 6583 3 of 28 deformation rate. In another study, Madrid et al [17] presented a novel method that combined the benefits of DOE techniques with welding simulation.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Welding Process of Geomembranes in Biodigesters Using Design of Factorial Experiments

Camarena-Martinez,

Baeza-Serrato,

Lizarraga-Morales

2023

Energies

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This research focuses on the optimization of the thermofusion process in the construction of biodigesters as it has a direct influence on their quality and durability. The study utilizes factorial experiments and statistical analysis, with particular emphasis on the innovative application of the arcsine transformation. Two 2k factorial designs were developed to account for warm and cold weather. The experiments evaluated factors such as the operator’s experience, wedge sealing temperature, sealing speed, and extruder temperature. The effects on the response variables were analyzed, which included overheating, resistance, and leaks. The study identified significant influences of the operator and the temperature of the wedge sealer in warm weather conditions, while the operator’s influence remained prominent in resistance and leakage tests in cold weather. Data transformation techniques, including the arcsine transformation, were employed to ensure statistical validity. Optimal input variable combinations were identified to maximize resistance and minimize overheating and air leaks. The research emphasizes the importance of optimizing the thermofusion process for biodigester construction, highlighting the role of arcsine transformation in improving statistical analysis. The findings enable practitioners to make informed decisions, leading to improvements in welding processes and overall biodigester quality.

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Investigation of TIG welding parameters to improve strength

Cited by 12 publications

References 6 publications

Investigating the effect of TIG welding process variables on the mechanical properties of stainless steel-304 pipe welded joints

Investigating the effect of TIG welding process variables on the mechanical properties of stainless steel-304 pipe welded joints

Double side friction stir welding effect on mechanical properties and corrosion rate of aluminum alloy AA6061

Optimization of Welding Process of Geomembranes in Biodigesters Using Design of Factorial Experiments

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