Three-dimensional simulation of 304L steel TIG welding process: Contribution of the thermal flux

Aissani, Mouloud; Guessasma, Sofiane; Zitouni, Abdelhalim; Hamzaoui, Rabah; Bassir, David; Benkedda, Y.

doi:10.1016/j.applthermaleng.2015.06.035

Cited by 45 publications

(14 citation statements)

References 31 publications

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“…Thus, as expected, the model failed to predict the temperature after the TIG welding torch was turned off. The same pattern is seen in Aissani et al [8]. In their work, the authors model a TIG welding process for the same stainless steel of Gonçalves et al [7].…”

Section: Introductionsupporting

confidence: 51%

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A GTA Welding Cooling Rate Analysis on Stainless Steel and Aluminum Using Inverse Problems

Magalhães

Silva

2017

Applied Sciences

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Abstract:This work presents an analysis of the thermal influence of the heat transfer by convection and radiation during GTA (gas tungsten arc) welding process. The authors' in-house C++ previously-developed code was modified to calculate the amount of heat transfer by convection and radiation. In this software, an iterative Broydon-Fletcher-Goldfarb-Shanno (BFGS) inverse method was applied to estimate the amount of heat delivered to the plate when the appropriate sensitivity criteria were defined. The methodology was validated by accomplishing lab-controlled experiments on stainless steel AISI 304L and aluminum 6065 T5 plates. Due to some experimental singularities, the forced thermal convection induced by the electromagnetic field and thermal-capillary force were disregarded. Significant examples of these singularities are the relatively small weld bead when compared to the sample size and the reduced time of the welding process. In order to evaluate the local Nusselt number, empirical correlations for flat plates were used. The thermal emission was a dominant cooling effect on the aluminum cooling. However, it did not present the same behavior as the stainless steel samples. The study found that the heat losses by convection and radiation of the weld pool do not affect the cooling process significantly.

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Section: Introductionsupporting

confidence: 51%

“…These models satisfactorily predict the temperature at the peak point [7,8]. However, they fail to analyze the cooling rate because they use simple approaches for the radiation and heat transfer coefficient by convection.…”

Section: Introductionmentioning

confidence: 99%

A GTA Welding Cooling Rate Analysis on Stainless Steel and Aluminum Using Inverse Problems

Magalhães

Silva

2017

Applied Sciences

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“…The response is almost linear over the range of the factor settings selected. This is one of the assumptions in this analysis [14].…”

Section: Design Of Experiments (Doe) and Full Factorial Designmentioning

confidence: 97%

Factorial design and design of experiments for developing novel lead free solder alloy with Sn, Cu and Ni

Jayesh

Elias

Guru³

2020

Int. J. Simul. Multidisci. Des. Optim.

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Inherent toxicity makes lead a banned material in solder alloy making process. Lead-tin alloy was a favorable alloy used for soldering in electronic packaging manufacturers. As a result of the ban on lead, electronics package industries were looking for novel lead free alloys which can substitute the conventional Sn-Pb alloy. Many alloys were discovered by the scientists. None of them were able to substitute the Sn-Pb alloy and become the market leader. In this paper a new composition with Sn, Cu and Ni is made to analyze which can potentially replace the lead containing solder alloy. Using the design of experiments method, the optimized composition of Cu and Ni is predicted. The full factorial design of experiments with two replications is used to find the optimized composition. Melting temperature, contact angle and hardness were taken as the critical output parameters. Results obtained shows that the optimum composition of Cu and Ni are 1 and 1% by wt.

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“…However, the difficulty of assembling those structures through fusion welding techniques (TIG, MIG-MAG...) remains a crucial problem. A solid-state welding technique [1][2][3] was introduced almost three decades ago by the Welding Institute (TWI) in the United Kingdom in 1991. This tech nique is called the friction stir welding (FSW) process and it con -sists in using a specific rotational tool (formed by a shoulder and a shaped probe) to provide required weld properties [4].…”

Section: Introductionmentioning

confidence: 99%

Thermal analysis of the friction stir welding process based on boundary conditions and operating parameters

Aissani¹,

Bassir²,

Boukraa³

et al. 2021

PEAS

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Three-dimensional simulation of 304L steel TIG welding process: Contribution of the thermal flux

Cited by 45 publications

References 31 publications

A GTA Welding Cooling Rate Analysis on Stainless Steel and Aluminum Using Inverse Problems

A GTA Welding Cooling Rate Analysis on Stainless Steel and Aluminum Using Inverse Problems

Factorial design and design of experiments for developing novel lead free solder alloy with Sn, Cu and Ni

Thermal analysis of the friction stir welding process based on boundary conditions and operating parameters

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