Numerical modeling of two-dimensional heat-transfer and temperature-based calibration using simulated annealing optimization method: Application to gas metal arc welding

Bjelic, B Miso; Kovanda, Karel; Kolařík, Ladislav; Vukicevic, N Miomir; Radicevic, S Branko

doi:10.2298/tsci150415127b

Cited by 5 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ivanovic et al [35] performed a numerical study on the displacement of the heat source in the three main directions of space. Bjelić et al [36] performed a study similar to the previous one, but considering the two dimensions of space.…”

Section: Experimental Results Obtainedmentioning

confidence: 99%

Numerical-experimental validation of the welding thermal cycle carried out with the MIG welding process on a 6063-T5 aluminium tubular profile

2019

View full text Add to dashboard Cite

The purpose of this work is to validate the thermal welding cycle obtained experimentally with the metal inert gas (MIG) welding process on a 6063-T5 aluminium tubular profile using the finite element method. The assembly formed by the tubular profile and the weld bead obtained experimentally is represented in an accurate way, taking care of both the geometry and the contour of the weld bead. The precision achieved in the numerical-experimental validation carried out by means of the finite element method is due to the care that has been taken in drawing the welded piece together with the weld bead made experimentally. In the validation carried out, the experimental and numerical cooling curves and the critical cooling time between 400 and 300 ºC (t 4/3) in both curves are compared.

show abstract

Section: Experimental Results Obtainedmentioning

confidence: 99%

Numerical-experimental validation of the welding thermal cycle carried out with the MIG welding process on a 6063-T5 aluminium tubular profile

2019

View full text Add to dashboard Cite

show abstract

“…Materials' Properties: as we are interested at the temperature profile corresponding to the melting isotherm, which then develops inside the melting zone, we have chosen to use the properties at the melting temperature value for both the specific heat and the thermal conductivity coefficient [12][13], both as regards density [14][15] (Table . 1b). The absorption values were chosen for aluminum 0.23 [16,17] .…”

Section: Numerical Modeling: Finite Element Methodmentioning

confidence: 99%

Semi-Analytical Solution for Modelling Moving Heat Sources in a Semi-Infinite Medium with Radiative and Convective Boundary Conditions

Metallo

2023

International Journal of Thermodynamics

View full text Add to dashboard Cite

The weld quality is highly related to the thermal history of the weld and there have been many trials to monitor the quality using an infrared (IR) sensor. To obtain the real temperature of a surface based on the brightness temperature values measured by an IR camera, the emissivity value must be derived. For an accurate assessment of the emissivity, one must be aware of the melting point isotherm. The temperature profiles only depend on three factors during laser processing, specified as constants the characteristics of the material: laser beam speed (v), laser beam diameter (d), and power (P). Predicting the width of the melted zone reached during the welding process as the parameters vary is a tool for helping a quality laser processing and for determination of true temperature in laser welding using IR camera. This study describes the semi-analytical (SA) solution of the heat conduction equation for a localized moving Gaussian heat source with constant parameters on a semi-infinite medium. The solution, simple and quick to obtain, provides information on the width of the melted zone with an average error < 5 %. The outcome is assessed numerically and contrasted with FEM solutions for a Gaussian source, the latter having undergone experimental validation. With two distinct defocus values, def0 and def-6, and by varying the speed and power settings, two separate types of experiments were run. Thus, the SA solution was obtained and compared after the FEM solution had been obtained with a good approximation (max err 4.3 %, average err 2.7 %). Only in regard to the 1AL test is an error more than 5 % detected; in the other case, the average error is 3.75 %. Two more tests at the defocus values of def-4 and def-8 were conducted to confirm the model's validity as the parameters varied. Overall, the average error between the semi-analytical and the FEM solution is 4.1%. The SA solution may be used to effectively estimate the isotherms related to the melting point of aluminum (770 K). This allows to obtain a tool which helps restoring the real temperature based on the brightness values measured by the IR camera during laser welding. At the same time, this effective tool allows to investigate the importance of different processing parameters in laser manufacturing.

show abstract

“…This way, we can determine the values of input parameters for the whole interval of different simulation conditions. The use of multi-objective [21,22] instead of single-objective optimization algorithm [14,[24][25][26] allows the error estimation for each parameter included in the objective functions separately. That gives us the possibility to choose the appropriate functional relations depending on the need for the greater or lesser error of individual parameters concerning experimental results.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective calibration of the double-ellipsoid heat source model for GMAW process simulation

et al. 2022

Self Cite

View full text Add to dashboard Cite

The scope of application of simulation models in welding is limited by the accuracy of their output results. This paper presents a calibration procedure for a three-dimensional quasi-stationary model of heat transfer for gas metal arc welding. The double-ellipsoid heat source used in this model has five input parameters whose value cannot be specified accurately. To estimate these values, we employed a multi-objective calibration procedure with two objective functions using the paretosearch optimization algorithm. Objective functions represented the error between simulated and experimentally observed values of penetration depth and weld bead width during gas metal arc welding of P355GH steel plates. All input parameters were assumed to be a power function of line energy. To reduce computational time, we replaced the numerical model with a response surface methodology metamodel based on an optimal set of simulation results from the numerical model. The results of the simulations based on calculated values of input parameters for the heat source model showed excellent matching with the experimental results.

show abstract

Numerical modeling of two-dimensional heat-transfer and temperature-based calibration using simulated annealing optimization method: Application to gas metal arc welding

Cited by 5 publications

References 19 publications

Numerical-experimental validation of the welding thermal cycle carried out with the MIG welding process on a 6063-T5 aluminium tubular profile

Numerical-experimental validation of the welding thermal cycle carried out with the MIG welding process on a 6063-T5 aluminium tubular profile

Semi-Analytical Solution for Modelling Moving Heat Sources in a Semi-Infinite Medium with Radiative and Convective Boundary Conditions

Multi-objective calibration of the double-ellipsoid heat source model for GMAW process simulation

Contact Info

Product

Resources

About