Numerical modeling and simulation for laser beam welding of ultrafine-grained aluminium

Lazov, Lyubomir; Teirumnieks, Edmunds; Draganov, Ivo; Angelov, Nikolay

doi:10.1088/1555-6611/abf5d3

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…Refs. [17][18][19][20][21] recently discussed different aspects on the implementation of heat source models. The main focus lies on mapping a melt pool as accurately as possible.…”

Section: Introductionmentioning

confidence: 99%

A Physically Motivated Heat Source Model for Laser Beam Welding

Hartwig,

Bakir,

Scheunemann

et al. 2024

Metals

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In this contribution, we present a physically motivated heat source model for the numerical modeling of laser beam welding processes. Since the calibration of existing heat source models, such as the conic or Goldak model, is difficult, the representation of the heat source using so-called Lamé curves has been established, relying on prior Computational Fluid Dynamics (CFD) simulations. Lamé curves, which describe the melting isotherm, are used in a subsequent finite-element (FE) simulation to define a moving Dirichlet boundary condition, which prescribes a constant temperature in the melt pool. As an alternative to this approach, we developed a physically motivated heat source model, which prescribes the heat input as a body load directly. The new model also relies on prior CFD simulations to identify the melting isotherm. We demonstrate numerical results of the new heat source model on boundary-value problems from the field of laser beam welding and compare it with the prior CFD simulation and the results of the Lamé curve model and experimental data.

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“…Refs. [17][18][19][20][21] recently discussed different aspects on the implementation of heat source models. The main focus lies on mapping a melt pool as accurately as possible.…”

Section: Introductionmentioning

confidence: 99%

A Physically Motivated Heat Source Model for Laser Beam Welding

Hartwig,

Bakir,

Scheunemann

et al. 2024

Metals

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“…As has been amply demonstrated by the aforementioned scientific works, although several physical phenomena, related to each other, are involved, SLM is mainly a thermal process. So the simulation can be mainly based on thermal models, as occours for laser welding [35,36]. Simulation models allows to accurately forecast thermal fields.…”

Section: Introductionmentioning

confidence: 99%

An integrated analytical model for the forecasting of the molten pool dimensions in Selective Laser Melting

Angelastro¹,

Campanelli²

2021

Laser Phys.

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Selective laser melting (SLM) is one of the most promising processes in the Additive Manufacturing of metals because of the possibility to fabricate complex geometry parts with a wide range of materials. The molten pool dimensions are notoriously crucial for the production of high quality parts, in terms of mechanical properties and roughness, and to control the ‘balling’ phenomenon. In the past, several studies have been conducted to monitor temperature gradient and thermal history, stress and deformation field, balling occurrence, effect of volume shrinkage and the effect of process parameters on temperature evolution. Up to now, very few works are available in literature on the effects of the process parameters on the molten pool shape and dimensions: moreover, they also neglect the simultaneously effect of various physical factors. In this work, an integrated analytical model, consisting of three sub-models (thermal, optical and melting sub-models), with the purpose to forecast the molten pool dimensions in terms of width and depth, was developed. An experimental plan has been carried out, processing the 18 maraging 300 steel, to demonstrate the capability and the accuracy of the presented model. The obtained results demonstrate that the integrated analytical model led to optimal forecasting.

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“…Laser welding of light and high reflective metals such as aluminium is a very difficult technological process in particular, it requires extreme precision and selection of the correct laser source and technological parameters to ensure a quality welding seam. That is why it is necessary to use physical modelling and simulations as a powerful tool for clarifying the fundamental aspects of the laser welding process and for preliminary assessment and engineering forecasts of the emerging effects and for correct choice of the optimal working range of the technological parameters in the process of laser welding [2 -5], [6 -10], [14].…”

Section: Introductionmentioning

confidence: 99%

Comsol Simulation of Laser Welding of Aluminum

Balchev

Lazov

Angelov

et al. 2021

ETR

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This research includes a Comsol Mutiphysics model describing the temperature distribution on aluminum during the laser conductivity welding process. The influence of laser power and speed on the welding process is discussed and compared with experiments. Numerical simulations of laser welding process have been performed to determine the temperature fields of laser impact to samples of aluminum. Numerical calculations are made for fiber laser. The plots of the temperature dependence on the surface and in the depth of aluminum samples on the velocity are analyzed for several power densities for this laser.

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Numerical modeling and simulation for laser beam welding of ultrafine-grained aluminium

Cited by 5 publications

References 17 publications

A Physically Motivated Heat Source Model for Laser Beam Welding

A Physically Motivated Heat Source Model for Laser Beam Welding

An integrated analytical model for the forecasting of the molten pool dimensions in Selective Laser Melting

Comsol Simulation of Laser Welding of Aluminum

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