Optimization of process parameters for laser welding of A5083 aluminium alloy

Nisar, Salman; Noor, Ameera; Shah, Abad; Siddiqui, M.U.; Khan, Sohaib Z.

doi:10.1016/j.optlastec.2023.109435

Cited by 15 publications

(3 citation statements)

References 35 publications

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“…More recent studies have reported the development of laser calibration, such that parametric studies contribute to optimizing the welding process. An example is Nisar et al (2023) who developed a 3D transient thermal study using finite element in ABAQUS to optimize the parameters of the laser welding process on an aluminum alloy. In the study, they used a conical Gaussian heat source and a regression model to determine the optimal parameters.…”

Section: Frontiers In Mechanical Engineeringmentioning

confidence: 99%

Numerical simulations and mathematical models in laser welding: a review based on physics and heat source models

Jiménez-Xamán,

Hernández-Hernández,

Tariq

et al. 2024

Front. Mech. Eng.

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The dominant phenomenon in laser welding processes is heat transfer by conduction, making it crucial to gain insights into energy distribution within the heat-affected region, including the melt pool. Thermal analysis enables the description of thermo-mechanical, metallurgical aspects, and also addresses studies related to fluid flow and energy transfer. As research in welding processes has advanced, these models have evolved. This is why it is now efficient to use computational modeling techniques as it allows us to analyze the behavior of laser welding during the process. This underlines the importance of this work which has carried out an exhaustive theoretical literature review with the objective of classifying and describing the numerical simulations of laser welding based on the physics involved. In that sense, the mathematical models and strategies used in laser welding are explored in a general way. Therefore, two types of laser welding by conduction and deep penetration are defined from this point and they are categorized according to the phenomena involved in Model Heat Conduction and Model Integral Multiphysics. This comprehensive review article serves as a valuable resource for higher education students by providing a structured and detailed exploration of laser welding and its mathematical modeling. By classifying and describing numerical simulations based on the physics involved, it offers a framework for students to understand the complexities of this field. Additionally, this innovative approach to organizing and presenting research contributes to educational innovation by facilitating a more efficient and effective learning experience, helping students acquire the knowledge and research skills necessary for advancements in the laser welding domain.

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Section: Frontiers In Mechanical Engineeringmentioning

confidence: 99%

Numerical simulations and mathematical models in laser welding: a review based on physics and heat source models

Jiménez-Xamán,

Hernández-Hernández,

Tariq

et al. 2024

Front. Mech. Eng.

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“…For the numerical simulation of the welding process, Nisar et al simulated the laser welding process of AA5083 aluminum alloy in a straight path through ABAQUS v2020. They conducted a transient thermal analysis of the AA5083 aluminum alloy to study the effects of laser power and welding speed on the peak temperature of samples with different thicknesses, the aspect ratio of weld width and depth, and the width of the heat-affected zone [ 11 ]. Using the ANSYS platform, Doshi et al performed transient thermal simulation of the welding process by utilizing an ANSYS APDL subroutine.…”

Section: Introductionmentioning

confidence: 99%

Tungsten Inert Gas Welding of 6061-T6 Aluminum Alloy Frame: Finite Element Simulation and Experiment

Hu,

Pei,

et al. 2024

Materials

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In order to address the irregularity of the welding path in aluminum alloy frame joints, this study conducted a numerical simulation of free-path welding. It focuses on the application of the TIG (tungsten inert gas) welding process in aluminum alloy welding, specifically at the intersecting line nodes of welded bicycle frames. The welding simulation was performed on a 6061-T6 aluminum alloy frame. Using a custom heat source subroutine written in Fortran language and integrated into the ABAQUS environment, a detailed numerical simulation study was conducted. The distribution of key fields during the welding process, such as temperature, equivalent stress, and post-weld deformation, were carefully analyzed. Building upon this analysis, the thin-walled TIG welding process was optimized using the response surface method, resulting in the identification of the best welding parameters: a welding current of 240 A, a welding voltage of 20 V, and a welding speed of 11 mm/s. These optimal parameters were successfully implemented in actual welding production, yielding excellent welding results in terms of forming quality. Through experimentation, it was confirmed that the welded parts were completely formed under the optimized process parameters and met the required product standards. Consequently, this research provides valuable theoretical and technical guidance for aluminum alloy bicycle frame welding.

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“…Laser welding process improvement involves balancing the process parameters to achieve optimal efficiency and minimal thermal stress [ 36 ]. Under this scope, recent advancements in laser technology and real-time monitoring systems have contributed to efficient joining [ 37 ].…”

mentioning

confidence: 99%

Advances in the Experimentation and Numerical Modeling of Material Joining Processes

Campilho

2023

Materials

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Optimization of process parameters for laser welding of A5083 aluminium alloy

Cited by 15 publications

References 35 publications

Numerical simulations and mathematical models in laser welding: a review based on physics and heat source models

Numerical simulations and mathematical models in laser welding: a review based on physics and heat source models

Tungsten Inert Gas Welding of 6061-T6 Aluminum Alloy Frame: Finite Element Simulation and Experiment

Advances in the Experimentation and Numerical Modeling of Material Joining Processes

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