A literature review in heat source thermal modeling applied to welding and similar processes

Nascimento, Ernandes J. G.; Magalhães, Elisan dos Santos; Paes, Luiz Eduardo dos Santos

doi:10.1007/s00170-023-11253-z

Cited by 4 publications

(2 citation statements)

References 253 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The positive final characteristics of the LBW joint and its versatility contributed to a significant increase in the method's popularity in the last few years. For instance, LBW is currently by far the most simulated welding technique present in recent scientific publications [18]. The previous simulation of the process allows for various advantages such as optimization of the technique through new modeling and parameters tuning [19], enhanced materials selection [20], the prediction of the final weld bead mechanical characteristics [21,22], and the estimation of involved parameters through inverse analysis [23][24][25].…”

Section: The Laser Beam Welding (Lbw) Simulationmentioning

confidence: 99%

See 1 more Smart Citation

An Implementation of LASER Beam Welding Simulation on Graphics Processing Unit Using CUDA

Nascimento,

Magalhães,

Azevedo

et al. 2024

Computation

Self Cite

View full text Add to dashboard Cite

The maximum number of parallel threads in traditional CFD solutions is limited by the Central Processing Unit (CPU) capacity, which is lower than the capabilities of a modern Graphics Processing Unit (GPU). In this context, the GPU allows for simultaneous processing of several parallel threads with double-precision floating-point formatting. The present study was focused on evaluating the advantages and drawbacks of implementing LASER Beam Welding (LBW) simulations using the CUDA platform. The performance of the developed code was compared to that of three top-rated commercial codes executed on the CPU. The unsteady three-dimensional heat conduction Partial Differential Equation (PDE) was discretized in space and time using the Finite Volume Method (FVM). The Volumetric Thermal Capacitor (VTC) approach was employed to model the melting-solidification. The GPU solutions were computed using a CUDA-C language in-house code, running on a Gigabyte Nvidia GeForce RTX™ 3090 video card and an MSI 4090 video card (both made in Hsinchu, Taiwan), each with 24 GB of memory. The commercial solutions were executed on an Intel® Core™ i9-12900KF CPU (made in Hillsboro, Oregon, United States of America) with a 3.6 GHz base clock and 16 cores. The results demonstrated that GPU and CPU processing achieve similar precision, but the GPU solution exhibited significantly faster speeds and greater power efficiency, resulting in speed-ups ranging from 75.6 to 1351.2 times compared to the CPU solutions. The in-house code also demonstrated optimized memory usage, with an average of 3.86 times less RAM utilization. Therefore, adopting parallelized algorithms run on GPU can lead to reduced CFD computational costs compared to traditional codes while maintaining high accuracy.

show abstract

Section: The Laser Beam Welding (Lbw) Simulationmentioning

confidence: 99%

“…The automated LASER head heat source was modeled as a constant velocity mobile Gaussian whole conical volumetric profile, implemented here as tuned, and reviewed in previous work [18,29]. The heat distribution may be mathematically written as…”

Section: Moving Heat Sourcementioning

confidence: 99%

An Implementation of LASER Beam Welding Simulation on Graphics Processing Unit Using CUDA

Nascimento,

Magalhães,

Azevedo

et al. 2024

Computation

Self Cite

View full text Add to dashboard Cite

show abstract

Estimation of time-dependent laser heat flux distribution based on BPNN improved by multiple population genetic algorithm

Li,

Xia,

Sun

et al. 2024

International Journal of Heat and Mass Transfer

View full text Add to dashboard Cite

Heat source models for numerical simulation of laser welding processes – a short review

Behúlová,

Babalová

2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

In recent decades, numerical modeling and computer simulation have become an integral part of the design, analysis and optimization of fusion welding processes, including laser welding. In general, laser welding processes involve the interaction of multiple physical phenomena, such as thermal, fluid, metallurgical, chemical, mechanical, and diffusion effects, which makes the development of a simulation model difficult and complex. In addition to the geometric characteristics of the parts to be welded, their material properties must be specified in a wide temperature range, as well as the conditions for heat removal to the environment or shielding gas. One of the most complex tasks in the preparation of a simulation model of the laser welding processes consists in the selection of an appropriate heat source model to accurately determine the heat input to the weld. Very important is also the process of experimental verification and validation of the developed simulation models. In this paper, a short examination of significant mathematical heat source models for numerical simulation of laser welding is provided. Numerical analysis of laser welding of sheets made of S650MC steel is accomplished using conical 3D heat source model with the support of the ANSYS code. The effect of geometrical characteristics of the conical volumetric heat source model on the computed width, length, and depth of the weld pool is discussed, along with evaluation of maximum weld pool temperature.

show abstract

A literature review in heat source thermal modeling applied to welding and similar processes

Cited by 4 publications

References 253 publications

An Implementation of LASER Beam Welding Simulation on Graphics Processing Unit Using CUDA

An Implementation of LASER Beam Welding Simulation on Graphics Processing Unit Using CUDA

Estimation of time-dependent laser heat flux distribution based on BPNN improved by multiple population genetic algorithm

Heat source models for numerical simulation of laser welding processes – a short review

Contact Info

Product

Resources

About