Numerical simulation of melting and solidification in laser welding of mild steel

Sundar, M.; Nath, Ashish Kumar; Bandyopadhyay, Debasish; Chaudhuri, Sheli Sinha; Dey, P. K.; Misra, Dipten

doi:10.1504/ijcmsse.2007.017926

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…Numerical simulations can be run by pure conduction or can include fluid flow. When the latter is employed, it has been shown that heat affected zones are narrower and pool depths area greater [11]. In addition, the finite element method [12] or the finite volume method can be used [13].…”

Section: Introductionmentioning

confidence: 99%

Efecto de la velocidad de avance en procesos de soldadura por arco eléctrico usando el método de elementos finitos

et al. 2021

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La soldadura es un proceso de unión de elementos comúnmente encontrado a nivel industrial donde uno de los tipos de mayor uso es el de arco eléctrico. Para su correcta aplicación se deben tener en cuenta variables como tipo de electrodo, amperaje, voltaje, velocidad de avance, polaridad, tipo de junta, entre otras. En este trabajo se evaluó el efecto de la velocidad de avance, la cual repercute directamente en el modo de transferencia de metal y en la morfología del cordón de soldadura, por lo tanto, se debe definir correctamente con el fin de lograr satisfactoriamente la unión de los materiales. Para determinar su efecto se calculó el perfil térmico en una placa mediante un software de elementos finitos. Los valores de velocidad empleados se tomaron de especificaciones recomendadas por proveedores industriales de consumibles de soldadura. Además, la simulación se realizó para una junta a tope, donde se asumió que la energía aplicada sobre el metal era uniforme y constante sobre un área circular.

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Section: Introductionmentioning

confidence: 99%

Efecto de la velocidad de avance en procesos de soldadura por arco eléctrico usando el método de elementos finitos

et al. 2021

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“…In general welding, experimental and simulation-based research of these modes has been undertaken. This includes general experimental observation of the process [24,25], models of melting and solidification [26] and complex models including vaporisation and mass transfer which are important in the development of keyhole zones [27][28][29][30]. Zhou et al [31] give an overview of the fundamentals of keyhole formation in welding processes including keyhole formation due to recoil pressures, heat transfer and fluid flow.…”

Section: Introductionmentioning

confidence: 99%

A pragmatic continuum level model for the prediction of the onset of keyholing in laser powder bed fusion

Philo

Mehraban

Holmes

et al. 2018

Int J Adv Manuf Technol

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Laser powder bed fusion (L-PBF) is a complex process involving a range of multi-scale and multi-physical phenomena. There has been much research involved in creating numerical models of this process using both high and low fidelity modelling approaches where various approximations are made. Generally, to model single lines within the process to predict melt pool geometry and mode, high fidelity computationally intensive models are used which, for industrial purposes, may not be suitable. The model proposed in this work uses a pragmatic continuum level methodology with an ablation limiting approach at the mesoscale coupled with measured thermophysical properties. This model is compared with single line experiments over a range of input parameters using a modulated yttrium fibre laser with varying power and line speeds for a fixed powder layer thickness. A good trend is found between the predicted and measured width and depth of the tracks for 316L stainless steel where the transition into keyhole mode welds was predicted within 13% of experiments. The work presented highlights that pragmatic reduced physics-based modelling can accurately capture weld geometry which could be applied to more practical based uses in the L-PBF process. Keywords Additive manufacturing • Laser powder bed fusion • Modelling • Keyhole-mode laser melting • 316L stainless steel Nomenclature ρ Density C p Specific heat capacity T Temperature κ Thermal conductivity α Thermal diffusivity t Timê n Unit normal to surface q v Volumetric energy input q Irradiated heat flux

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“…(Sundar et al, 2007;Balasubramanian et al, 2010). To obtain the desired weld bead shape, selection of process parameters is important.…”

Section: Introductionmentioning

confidence: 99%

Studies on weld shape formation and Marangoni convection in Nd:YAG laser welding

Suthakar

Balasubramanian

Sankaranarayanasamy

et al. 2012

IJMMS

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Laser welding is a high energy beam welding process. Selection of process parameters is vital for the desired weld shape formation. Trial and error method for selection of appropriate process parameters prevailing in other welding processes is not suitable for laser welding. The effect of process parameters on the weld shape formation is analysed in this study with and without Marangoni convection. Finite volume method is adopted to study the heat transfer and fluid flow during the welding based on the solution of the equations of conservation of mass, momentum and energy in the weld pool. The studies are carried out on AISI 304 stainless steel of thickness 2 mm and its thermophysical properties are considered for the modelling and simulation. The simulated weld shape profiles are compared with the experimentally measured profile for different sets of welding parameters and all the simulated welds shapes are found to be in agreement.

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Numerical simulation of melting and solidification in laser welding of mild steel

Cited by 4 publications

References 14 publications

Efecto de la velocidad de avance en procesos de soldadura por arco eléctrico usando el método de elementos finitos

Efecto de la velocidad de avance en procesos de soldadura por arco eléctrico usando el método de elementos finitos

A pragmatic continuum level model for the prediction of the onset of keyholing in laser powder bed fusion

Studies on weld shape formation and Marangoni convection in Nd:YAG laser welding

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