Microstructural evolution and its effect on joint strength during laser welding of dual phase steel to aluminium alloy

Indhu, R; Tak, Manish; Vijayaraghavan, L.; Santhanakrishnan, Soundarapandian

doi:10.1016/j.jmapro.2020.08.004

Cited by 20 publications

(11 citation statements)

References 29 publications

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“…At the temperature distribution along YZ plane at a LED of 371 J/mm 2 , the model generated a weld width of 6400 µm and a depth of 789 µm. At a lower LED of 297 J/mm 2 , the weld width and penetration depth were reduced to 5410 µm and 393 µm [40][41][42][43].…”

Section: Introductionmentioning

confidence: 97%

“…The generation of the weld bead was aided by the laser energy density (LED). It was observed from the model that the peak temperature increased with escalated LED [40][41][42][43]. Owing to the increase in temperature, the amount of heat conducted into the material increased, which resulted in higher penetration depth.…”

Section: Introductionmentioning

confidence: 99%

“…The predicted keyhole was then compared with practical observation and results revealed that the temperature depended on the change in nonlinear physical properties such as density, thermal conductivity, thermal diffusivity, total enthalpy, inward heat flux, and Paclet number, which were plotted for the welding of AISI 316L stainless steel joint to study the change in microstructure and the mechanical properties [39]. Indhu et al (2020) developed a (3D) axial symmetry model for laser welding of dissimilar materials in conduction welding mode [40]. To validate the model, experiments were carried out using a high power diode laser on dual phase steel and aluminum alloy in conduction mode.…”

Section: Introductionmentioning

confidence: 99%

“…The temperature profile was retrieved from the boundary by using six domain point probes positioned in the YZ plane along the weld's cross section [40][41][42][43]. The temperature profile was depicted by the heating time and the cooling time for both cases at LED (371 J/mm 2 and 297 J/mm 2 ).…”

Section: Introductionmentioning

confidence: 99%

“…The temperature profile was depicted by the heating time and the cooling time for both cases at LED (371 J/mm 2 and 297 J/mm 2 ). At higher LED (371 J/mm 2 ), i.e., at lower scanning speed (8 mm/s), the laser remained in contact with the material for a longer time, which further resulted in increased heating time of 0.4 s and higher peak temperature of~8200 K [40][41][42][43]. As the LED decreased (297 J/mm 2 ), the heating time reduced to 0.25 s with a much lower peak temperature of 7800 K. Results also revealed that another phenomenon that governed the weld width and the depth was the Marangoni convection force.…”

Section: Introductionmentioning

confidence: 99%

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Prediction of Transient Temperature Distributions for Laser Welding of Dissimilar Metals

Ghosh

Sen²,

Chattopadhyaya

et al. 2021

Applied Sciences

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Distribution of temperature during the welding process is essential for predicting and realizing some important welding features such as microstructure of the welds, heat-affected zone (HAZ), residual stresses, and their effects. In this paper, a numerical model was developed using COMSOL Multiphysics of dissimilar laser welding (butt joint) of AISI 316L and Ti6Al4V thin sheet of 2.5 mm thickness. A continuous mode (CW) fiber laser heat source of 300W laser power was used for the present study. A time-dependent prediction of temperature distributions was attempted. The heat source was assumed as a Hermit–Gaussian analytical function with a moving velocity of 120 mm/min. Both convective and radiant heat loss and phase change of the materials were considered for the analysis. In addition, variation of temperature-dependent material properties was also considered. The maximum and minimum temperature for the two materials at different times and the temperature in the different penetration depths were also predicted. It was found that the average temperature that can be achieved in the bottom-most surface near the weld line was more than 2400K, which justifies the penetration. Averages of maximum temperatures on the weld line at different times at the laser spot irradiation were identified near 3000K.The temperature fluctuation near the weld line was minimal and decreased more in the traverse direction. Scanning with a displaced laser relative to the interface toward the Ti6Al4V side reduces the maximum temperature at the interface and the HAZ of the 316L side. All of these predictions agree well with the experimental results reported in current literature studies.

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Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Prediction of Transient Temperature Distributions for Laser Welding of Dissimilar Metals

Ghosh

Sen²,

Chattopadhyaya

et al. 2021

Applied Sciences

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Laser Welding of Aluminum Alloys

Saha,

Ghosh,

Das

et al. 2024

Laser‐Assisted Machining

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Research Progress on Control Strategy of Intermetallic Compounds in Welding Process of Heterogeneous Materials

Lü

Zhang

et al. 2021

steel research int.

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Since the beginning of the 21st century, countries around the world have continuously increased their efforts in environmental governance. It has higher requirements for the performance of materials, not only to ensure that it is clean and nonpolluting, but also to maximize benefits. The mechanical properties and economic value of a single material can no longer meet the production needs of enterprises. Therefore, more people use composite materials to replace single materials. The use of composite materials not only can effectively respond to the concept of green development, but also reduces cost input to a lager extent. The composite of dissimilar metals can volatilize the respective advantages of the two materials. Common materials can be used to replace rare metals to reduce the use of precious metals. [1][2][3][4] World-renowned automobile companies such as Japan's Toyota and Honda are vigorously researching lightweight production technologies. Lightweight alloys (such as magnesium [Mg] alloys, aluminum [Al] alloys, etc.) could be used in place of steel in non-load-bearing structures. Mg alloys are one of the lightest metal materials so far, with a density of only 1.74 g cm À3 , which is about 2/3 of Al, 1/4 of zinc, and 1/5 of steel. They have high specific strength, specific stiffness, good damping performance, and easy recycling and other advantages, known as the "21st century green engineering metal materials." Titanium (Ti) alloy is expensive and its processing performance is relatively poor. Steel has

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Microstructural evolution and its effect on joint strength during laser welding of dual phase steel to aluminium alloy

Cited by 20 publications

References 29 publications

Prediction of Transient Temperature Distributions for Laser Welding of Dissimilar Metals

Prediction of Transient Temperature Distributions for Laser Welding of Dissimilar Metals

Laser Welding of Aluminum Alloys

Research Progress on Control Strategy of Intermetallic Compounds in Welding Process of Heterogeneous Materials

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