Prediction of welding-induced angular distortions in thin butt-welded plates using artificial neural networks

Choobi, Mahsa Seyyedian; Haghpanahi, M.; Sedighi, M.

doi:10.1016/j.commatsci.2012.05.032

Cited by 41 publications

(9 citation statements)

References 23 publications

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“…For more details of the results of different cases, the interested reader can refer to the previous work of the present author. 28 In a similar manner, the results of angular distortions for the plates with widths of 200, 300 and 400 mm are shown in Figures 18-23. The results show that increasing the weld length increases angular distortions.…”

Section: Results Of Parametric Studymentioning

confidence: 87%

Investigating the effect of geometrical parameters on distortions in butt-welded plates

Choobi

2013

The Journal of Strain Analysis for Engineering Design

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Welding-induced distortions are one of the major problems frequently encountered in industry. Different geometrical and welding process parameters are believed to influence distortions. One of the most common types of distortions frequently observed in butt-welded plates is angular distortion. In this study, the effect of geometrical parameters on angular distortions in butt-welded plates has been investigated numerically and experimentally. A comprehensive study has been performed, and several cases with different plate lengths, widths and thicknesses have been studied. Distortions have been predicted by three-dimensional thermo-elastic-plastic finite element simulation. The finite element results have been verified by a series of experimental measurements for temperatures and angular distortions. The results of this study revealed that plate thickness, length and width influence the magnitude and mode of distortions greatly. The results revealed that decreasing the plate thickness or increasing the weld length results in higher and nonlinear angular distortions. Increasing the plate width has an adverse effect and reduces the angular distortion. In addition, the thickness of the plate has a key role on distortion behavior and can lead to buckling in thin plates.

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Section: Results Of Parametric Studymentioning

confidence: 87%

Investigating the effect of geometrical parameters on distortions in butt-welded plates

Choobi

2013

The Journal of Strain Analysis for Engineering Design

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“…S. Matsuokaa [9] studied the thermal distortion of thin stainless steel sheet in the bead-on-plate welding by using a single mode ber laser with a Galvano scanning system, and concluded that the angle deformation of thin stainless steel sheet in laser micro-welding was due to both the shrinkage of width direction related to humping and the expansion of weld bead with the convex curvature on the top surface. M Choobi [10] considered the laser welding deformation of thin plates is mainly angular deformation, and used a self-built arti cial neural network model to reproduce the angular deformation that occurred during the welding of SUS304 stainless steel sheets. Liu Jia [11] studied the non-penetration lap laser welding of SUS301 stainless steel plates of thickness 0.8 mm and 1.2 mm, and concluded that the deformation of SUS301 stainless steel plate on the partially penetrated side is an angular deformation mechanism.…”

Section: Introductionmentioning

confidence: 99%

Bulging Distortion of Austenitic Stainless Steel Sheet on the Partially Penetrated Side of Non-Penetration Lap Laser Welding Joint

Yao

Liu

Ni³

et al. 2021

Preprint

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Non-penetration laser welding of lap joints in austenitic stainless steel sheets is commonly preferred in fields where the surface quality is of utmost importance. However, the application of non-penetration welded austenitic stainless steel parts is limited owing to the micro bulging distortion that occurs on the back surface of the partial penetration side. In this study, non-penetration lap laser welding experiments, were conducted on galvanized and SUS304 austenitic stainless steel plates using a fiber laser, to investigate the mechanism of bulging distortion. A comparative experiment of DC01 galvanized steel-Q235 carbon steel lap laser welding was carried out, and the deflection and distortion profile of partially penetrated side of the sheets were measured using a non-contact laser interferometer. In addition, the cold-rolled SUS304 was subjected to heat holding at different temperatures and water quenching after bending to characterize its microstructure under tensile and compressive stress. The results show that, during the heating stage of the thermal cycle of laser lap welding, the partial penetration side of the SUS304 steel sheet generates compressive stress, which extrudes the material in the heat-affected zone to the outside of the back of the SUS304 steel sheet, thereby forming a bulge. The findings of these experiments can be of great value for controlling the distortion of the partial penetrated side of austenitic stainless steel sheet during laser non-penetration lap welding.

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“…proposed a model estimating the angular distortion in the single-pass welding of a stainless steel sheet based on the back-propagation neural network. 6 Sudhakaran et al. addressed the optimization of the parameters of the GTAW of a stainless steel sheet by both experimental and numerical (using the particle swarm optimization technique in MATLAB) methods to reduce angular distortion induced by welding.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of residual stresses and distortion in submerged arc welding process using Genetic Algorithm and Harmony Search

Ansaripour

Heidari

Eftekhari

2019

Proceedings of the Institution of Mechanical Engineers, Part C:

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Residual stresses and distortion in welded joints undermine the durability of the structure and prevent a correct assembly of the parts. The principal objective of this study is to find a solution to minimize the residual stresses and distortion induced by submerged arc welding process. Accordingly, first, a thermal simulation of the process was undertaken by the finite-element method, and the results were used to provide a mechanical solution. The mechanical solution determined residual stresses and distortion that were found to be consistent with experimental results. Next, drawing on the design of experiment method based on cooling time between first pass and second pass and the first and second pass welding speed, a set of training data was formed for the developed artificial neural network. The trained neural network was then used as input for the optimization algorithm. Single- and multi-objective Genetic Algorithm and single and multi-objective Harmony Search methods were used for optimization process. Results illustrate that artificial neural network and multi-objective optimization algorithms are excellent methods for optimizing the residual stresses and distortion caused by welding process. As it was proved in this study, the single-objective optimization of the welding process is effective in reducing both the residual stress and distortion. The double-objective optimization also contributed to reduce both residual stress and distortion with 4% (for residual stresses) and 26.56% (for distortion) in multi-objective Harmony Search which was the better algorithm based on the solution time. Given the contradiction of the residual stresses and distortion in the welding process, the double-objective algorithm was found to be less successful in minimizing the two target functions relative to the case with the two optimized separately.

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Prediction of welding-induced angular distortions in thin butt-welded plates using artificial neural networks

Cited by 41 publications

References 23 publications

Investigating the effect of geometrical parameters on distortions in butt-welded plates

Investigating the effect of geometrical parameters on distortions in butt-welded plates

Bulging Distortion of Austenitic Stainless Steel Sheet on the Partially Penetrated Side of Non-Penetration Lap Laser Welding Joint

Multi-objective optimization of residual stresses and distortion in submerged arc welding process using Genetic Algorithm and Harmony Search

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