Numerical definition of an equivalent GTAW heat source

Pichot, François; Danis, Michel; Lacoste, Éric; Danis, Yann

doi:10.1016/j.jmatprotec.2013.01.009

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…This method presents good accuracy even though it requires experimental run trials to measure the weld pool. These measurements should be conducted during or after finishing the welding process, which limits its use as a predictive tool [31]. In addition, the measurement of the weld pool for certain configurations such as T-joints or L-joints is geometrically limited.…”

Section: Introductionmentioning

confidence: 99%

Residual Stress Pattern Prediction in Spray Transfer Multipass Welding by Means of Numerical Simulation

Esnaola¹,

Ulacia²,

Lopez-Jauregi³

et al. 2018

Residual Stress Analysis on Welded Joints by Means of Numerical Simulation and Experiments

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One of the main problems of gas metal arc welding (GMAW) process is the generation of residual stresses (RS), which has a direct impact on the mechanical performance of welded components. Nevertheless, RS pattern prediction is complex and requires the simulation of the welding process. Consequently, most of the currently used dimensioning approaches do not consider RS, leading to design oversized structures. This fact is especially relevant in big structures since it generates high material, manufacturing and product transportation costs. Nowadays, there are different numerical methods to predict the RS generated in GMAW process, being Goldak's method one of the most widely used model. However, the use of these methods during the design process is limited, as they require experimentally defining many parameters. Alternatively, in this chapter, a new methodology to define the heat source energy based on the spray welding physics is exposed. The experimental validation of the methodology conducted for a multipass butt weld case shows good agreement in both the temperature pattern (9.16% deviation) and the RS pattern (42 MPa deviation). Finally, the proposed methodology is extended to analyse the influence of the thickness and the number of passes in the RS pattern of thick T-joint welds.

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Section: Introductionmentioning

confidence: 99%

Residual Stress Pattern Prediction in Spray Transfer Multipass Welding by Means of Numerical Simulation

Esnaola¹,

Ulacia²,

Lopez-Jauregi³

et al. 2018

Residual Stress Analysis on Welded Joints by Means of Numerical Simulation and Experiments

View full text Add to dashboard Cite

show abstract

“…The main limitation of this method is that it requires measuring the weld pool, which should be done during or after finishing the welding process. For this reason, its application as a predictive method is limited [28]. Also in certain welded joints, T-joints, L-joints… the weld pool measurement for each pass is geometrically limited and sometimes cannot be conducted.…”

Section: Introductionmentioning

confidence: 99%

Procedure to predict residual stress pattern in spray transfer multipass welding

Lopez-Jauregi

Ulacia

Esnaola

et al. 2014

Int J Adv Manuf Technol

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Gas metal arc welding (GMAW) is one of the most used joining method in the industry.However, one of the main problems of this process is the generation of residual stresses which have direct impact on the fatigue life of welded components. Nevertheless, residual stress pattern prediction is complex and requires the simulation of the welding process. Currently, there are different numerical methods to predict the residual stresses generated in GMAW process, being Goldak's method one of the most widely used model. However, the main limitation of these methods is that they require defining many parameters experimentally and consequently this method is not valid during design process.Alternatively, in this work, it is developed a procedure where the heat source is defined based on the welding physics for spray transfer welding. The developed procedure has been validated for a spray transfer multipass butt weld case. Results have shown good correspondence with an average deviation of 9.16% in thermal field and 42 MPa in the final residual stress field. Thus, the developed procedure has been validated as a cost effective alternative method to estimate residual stress pattern in spray transfer multipass welding. Furthermore, the developed method does not require any welding experimental characterization once the efficiency of the used welding machine is defined. The proposed method can be used as a valid tool to optimize the welding process in order to minimize the residual stress field and, consequently, improve the fatigue life.

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