Experimental investigations and numerical prediction on the effect of shielding area and post flow time in the GTAW of CP Ti sheets

Karpagaraj, A.; Shanmugam, N. Siva; Sankaranarayanasamy, K.

doi:10.1007/s00170-018-3135-y

Cited by 17 publications

(14 citation statements)

References 26 publications

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“…The input parameters that affect the weld quality must be studied and optimized for predicting the optimum results for making perfect TWB. The process parameters considered for the present research were welding speed (S), current (I) and arc length (L), because these three parameters have a significant influence on the quality of the weld and directly involved with heat input as well [6,16,17]. The following formula [18] was used to calculate the heat input.…”

Section: Resultsmentioning

confidence: 99%

“…The shielding arrangement was as like as previous work [16,17]. Prior to the production of TWB, the GTAW process parameters such as welding current, welding speed and arc length were optimized.…”

Section: Methodsmentioning

confidence: 99%

“…The notations of the Johnson-Cook failure model are listed in Supporting Table S2. The weld metal properties are considered from the previous studies [17].…”

Section: Methodsmentioning

confidence: 99%

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Experimental and numerical studies on gas tungsten arc welding of Ti–6Al–4V tailor-welded blank

Karpagaraj

Kumar

Thiyaneshwaran

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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The effect of gas tungsten arc welding (GTAW) process parameters and its impact on the titanium TWB was studied experimentally as well as using numerical simulation. Bead characteristics of BoP trials (bead on plate) were analyzed based on Taguchi L 27 orthogonal array by taking welding current (115 A, 125 A, 135 A), welding speed (4.1 mm/s, 5.8 mm/s, 7.5 mm/s) and arc length (3 mm, 4 mm, 5 mm) as process parameters. The bead width and depth of penetration for all trials were measured by using the weld expert system. Based on the bead characteristics, optimized GTAW process parameters (135 A, 4.1 mm/s and 3 mm) were identified for making the TWB by joining 2-1.6-mm-thick Ti-6Al-4V sheets. The tensile test of the prepared Ti-6Al-4V TWB was conducted in the universal testing machine. The COMSOL and ABAQUS software packages were used for the numerical simulation of TWB to assess the bead profile and tensile properties. The prediction made from the temperature distribution curve related to phase change near weld zone, exactly matched with the experimental work. The joint strength of TWB observed to be around 982 MPa and 1005 MPa was evaluated experimentally and conducting ABAQUS simulation work. The tensile test results were comparable with each other within the acceptable error level.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Experimental and numerical studies on gas tungsten arc welding of Ti–6Al–4V tailor-welded blank

Karpagaraj

Kumar

Thiyaneshwaran

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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“…The three-dimensional heat transfer equation for analysis is shown in Table 2. The material properties are taken as like the previous work [14].…”

Section: (B)mentioning

confidence: 99%

“…This Goldack double ellipsoidal tool was constructed by absorbing the geometric parameters from the bead pro le [14]. Sudhakaran et al study the GTAW process parameters through experimental work.…”

Section: Introductionmentioning

confidence: 99%

The Role of Goldack Double Ellipsoidal Parameters in Temperature Distribution for the GTAW Process

Karpagaraj¹,

Suresh²,

Thamizhmanii³

et al. 2020

Preprint

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Numerical simulation is widely used in all the fields of engineering to predict the results. In welding, various finite element tools are used to predict the bead profile, temperature distribution, joint strength, formability and metallurgical changes etc. With respect to the welding process suitable heat source model has to be assigned for numerical simulation. The most suitable heat source for Gas Tungsten Arc Welding (GTAW) process is the Goldack double ellipsoidal model. This model has few parameters like the width of the weld (a), depth of penetration (b), front profile ellipse (Cf) and rear ellipse profile (Cr). In this research article, the influence of these parameters and their effect on the temperature distribution is focused. For this purpose, based on the full factorial design welding simulations are performed with COMSOL. Later, the grey relational technique was used to find the contribution of these parameters. It was concluded from the full factorial method that; temperature variation is depended on the GTAW welding heat source parameters. At 95% confidence level, the width of the weld showed a major role in controlling the temperature. Moreover, the optimum combination of process variables obtained end with minimum temperature rise at a width of 0.7 mm, depth of 5.7 mm and frontal factor of 4.

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Finite Element Modeling to Predict the Defect Formation in Friction Stir Welds of AA6061

Purswani¹,

Upadhyay²,

Karapagraj³

et al. 2021

Recent Advances in Manufacturing, Automation, Design and Energy Technologies

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Experimental investigations and numerical prediction on the effect of shielding area and post flow time in the GTAW of CP Ti sheets

Cited by 17 publications

References 26 publications

Experimental and numerical studies on gas tungsten arc welding of Ti–6Al–4V tailor-welded blank

Experimental and numerical studies on gas tungsten arc welding of Ti–6Al–4V tailor-welded blank

The Role of Goldack Double Ellipsoidal Parameters in Temperature Distribution for the GTAW Process

Finite Element Modeling to Predict the Defect Formation in Friction Stir Welds of AA6061

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