Experimental investigation and 3D finite element prediction of the heat affected zone during laser assisted machining of Ti6Al4V alloy

Yang, Jian; Sun, Shoujin; Brandt, Milan; Wang, Yan

doi:10.1016/j.jmatprotec.2010.08.007

Cited by 229 publications

(104 citation statements)

References 17 publications

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“…Introduction TA6V is the most widely used titanium alloy because it shows excellent mechanical properties at high temperatures [1,2]. TA6V is commonly used in industrial applications such as aeronautics and aerospace equipment [3] and in biomechanical applications such as implants and prostheses [4,5].…”

Section: List Of Symbolsmentioning

confidence: 99%

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Semi-analytic algorithms for the electrohydrodynamic flow equation

et al. 2012

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Laser welding is being used more frequently in industrial processes because of its advantages; therefore, energy loss in welding is an important issue during planning and operation. We calculated the energy losses expected during the laser welding of TA6V titanium alloy. We used the heat equation to describe the energy distribution of solid and liquid TA6V. The solid-to-liquid phase change was taken into account by comparing the accumulated energies and enthalpy of fusion. A numerical model was used to calculate the energy lost by convection and radiation. Finite difference calculations were performed using a FORTRAN-based computer program to solve the heat equation. The numerical results suggested that the appropriate laser welding velocity and power were in good agreement with the experimental data published elsewhere in the literature. The results showed the importance of the influence of the energy lost by radiation and convection in the welding area on welding energies and temperatures.Keywords Laser welding Á Heat equation Á Enthalpy of fusion Á Convection Á Thermal radiation Á Titanium alloyPower density at the center of the beam (W m

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Section: List Of Symbolsmentioning

confidence: 99%

“…The b-transus temperature range of TA6V is T b & 1253-1268 K [20], which is important for determining the TA6V structure. In this work, TA6V melted in the range 1913-1933 K. An average temperature of T f = 1923 K was used as melting point, as previously has been used by many authors [2,21,22].…”

Section: Materials Propertiesmentioning

confidence: 99%

Semi-analytic algorithms for the electrohydrodynamic flow equation

et al. 2012

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“…From their results, it was concluded that by using a 140-W power laser, a beam-to-cutting tool distance of between 0.8 and 1.9 mm and a depth of 0.005 to 0.117 mm could be obtained. Yang et al [26] have developed a 3D transient finite element method to predict the depth and width of HAZ on ductile material. It was found that the laser parameters, especially laser power, have strong influence on the depth and width of HAZ.…”

Section: Laser-assisted Millingmentioning

confidence: 99%

Thermal-Assisted Machining of Nickel-based Alloy

Rahim¹,

Warap²,

Mohid³

2015

Superalloys

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Nickel-based alloy can be found in different industrial applications especially in aircraft engines and hot end components of various types of gas turbines with its high strength, strong corrosion resistance and excellent thermal fatigue properties and thermal stability compared to conventional materials. However, nickel-based alloy is one of the extremely difficult-to-cut materials. During the machining process, the interaction between the tool and the workpiece causes severe plastic deformation and intense friction at the tool-workpiece interface. Because of the increasing demands in industries, any improvement of conventional machining processes or any other deployment of additional technique is directly related to higher productivity.Thermal-assisted machining (TAM) has become an effective alternative to the conventional machining of these difficult-to-cut materials. Various types of heating methods and the beneficial effects on machining of nickel-based alloys are discussed in this chapter. Finally, TAM was proven as an efficient technique to increase the machinability of nickel-based alloys in terms of tool life, surface roughness and cutting force.

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“…However, higher heating and cooling rates involved in this process induce residual stress in the subsurface regions. This process is applicable in repairing and surface hardening of the parts in casting, automobiles and aeronautics industries [1][2][3]. To optimise the process parameters and improve the efficiency and reproducibility of LSG different theoretical models were developed.…”

Section: Introductionmentioning

confidence: 99%

3D thermal model of laser surface glazing for H13 tool steel

Kabir

Yin

Naher

2017

AIP Conference Proceedings

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This is the accepted version of the paper.This version of the publication may differ from the final published version. Abstract. In this work a three dimensional (3D) finite element model of laser surface glazing (LSG) process has been developed. The purpose of the 3D thermal model of LSG was to achieve maximum accuracy towards the predicted outcome for optimizing the process. A cylindrical geometry of 10mm diameter and 1mm length was used in ANSYS 15 software. Temperature distribution, depth of modified zone and cooling rates were analysed from the thermal model. Parametric study was carried out varying the laser power from 200W-300W with constant beam diameter and residence time which were 0.2mm and 0.15ms respectively. The maximum surface temperature 2554K was obtained for power 300W and minimum surface temperature 1668K for power 200W. Heating and cooling rates increased with increasing laser power. The depth of the laser modified zone attained for 300W power was 37.5μm and for 200W power was 30μm. No molten zone was observed at 200W power. Maximum surface temperatures obtained from 3D model increased 4% than 2D model presented in author's previous work. In order to verify simulation results an analytical solution of temperature distribution for laser surface modification was used. The surface temperature after heating was calculated for similar laser parameters which is 1689K. The difference in maximum surface temperature is around 20.7K between analytical and numerical analysis of LSG for power 200W. Permanent repository link

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Experimental investigation and 3D finite element prediction of the heat affected zone during laser assisted machining of Ti6Al4V alloy

Cited by 229 publications

References 17 publications

Semi-analytic algorithms for the electrohydrodynamic flow equation

Semi-analytic algorithms for the electrohydrodynamic flow equation

Thermal-Assisted Machining of Nickel-based Alloy

3D thermal model of laser surface glazing for H13 tool steel

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