Numerical Analysis of Laser Preheating for Laser Assisted Micro Milling of Inconel 718

Rahim, Erween Abd; Warap, N. M.; Mohid, Zazuli; Ibrahim, Mustaffa; Rafai, Noor Hakim

doi:10.4028/www.scientific.net/amm.773-774.332

Cited by 8 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Kim and Lee [14] performed Finite element analysis to predict temperature profile and effective depth of cut during laser assisted heating of Inconel718 and AISI 1045 steel. Similarly, Rahim et al [15] used finite element analysis to predict the effect of laser heat-affected depth, laser-tool gap and depth of cut on reduction of tool wear and cutting forces. Gao and Ojo [16] and Akbari et al [17] performed finite element analyses of welding to evaluate temperature distribution and heat affected zone in laser welding.…”

Section: Introductionmentioning

confidence: 99%

A 3D FEM-based model of laser heating and machining for selection of process parameters and scanning path in laser-assisted machining of Ti6Al4V

Divse

Dubey

Marla

2022

Preprint

View full text Add to dashboard Cite

An appropriate selection of the laser parameters is critical in realizing the potential of laser-assisted machining (LAM) for hard-to-cut materials. This work presents a 3D FEM-based model of laser heating in laser-assisted machining of Ti6Al4V to select the laser parameters. The model accounts for the effect of the laser-tool gap, laser scanning speed, laser power, and laser path (linear and sinusoidal). The laser heating is modeled using a moving continuous heat source with a Gaussian intensity distribution, implemented in Abaqus/explicitTM with the help of a VDFLUX subroutine. The results suggest that the laser-tool gap plays a significant role in heating the entire cutting region. Regardless of power and scanning speed, the laser-tool gap must be sufficient to allow heating of the cutting region. The laser power should be sufficient to soften the material in the cutting zone, but it can be minimized by choosing an optimal value of the laser-tool gap. Also, sinusoidal laser scanning produced the desired thermal softening effects at lower laser powers than linear laser scanning. Accordingly, similar cutting forces are observed in LAM with sinusoidal laser scanning at only half of the laser power as that of linear laser scanning. However, due to the fluctuations in the cutting force for sinusoidal laser scanning, it can be recommended only for rough cuts in machining. The study demonstrates that through an appropriate selection of the laser parameters, the entire cutting zone can be heated to temperatures between 300-500 oC, desired in the machining of Ti6Al4V.

show abstract

Section: Introductionmentioning

confidence: 99%

A 3D FEM-based model of laser heating and machining for selection of process parameters and scanning path in laser-assisted machining of Ti6Al4V

Divse

Dubey

Marla

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Our study is similar to their work, but it focuses on laserassisted milling and force prediction. Rahim et al [8] used ANSYS Parametric Design Language to predict the laser beam-to-cutting tool distance and temperature distribution. Most of their conclusions pertained to the movement between the laser beam and the workpiece, but they only qualitatively analyzed the resultant material properties and cutting parameters such as surface roughness and the undeformed chip thickness.…”

Section: Introductionmentioning

confidence: 99%

Microstructure-sensitive flow stress modeling for force prediction in laser assisted milling of Inconel 718

Pan

Feng

et al. 2017

Manufacturing Rev.

View full text Add to dashboard Cite

-Inconel 718 is a typical hard-to-machine material that requires thermally enhanced machining technology such as laser-assisted milling. Based upon finite element analysis, this study simulates the forces in the laser-assisted milling process of Inconel 718 considering the effects of grain growth due to c 0 and c 00 phases. The c 00 phase is unstable and becomes the d phase, which is likely to precipitate at a temperature over 750°C. The temperature around the center of spot in the experiments is 850°C, so the phase transformation and grain growth happen throughout the milling process. In the analysis, this study includes the microstructure evolution while accounting for the effects of dynamic recrystallization and grain growth through the Avrami model. The grain growth reduces the yield stress and flow stress, which improves the machinability. In finite element analysis (FEA), several boundary conditions of temperature varying with time are defined to simulate the movement of laser spot, and the constitutive model is described by Johnson-Cook equation. In experiments, this study collects three sets of cutting forces and finds that the predicted values are in close agreements with measurements especially in feed direction, in which the smallest error is around 5%. In another three simulations, this study also examines the effect of laser preheating on the cutting forces by comparison with a traditional milling process without laser assist. When the laser is off, the forces increase in all cases, which prove the softening effect of laser-assisted milling. In addition, when the axial depth of milling increases, the laser has a more significant influence, especially in axial direction, in which the force with laser is more than 18% smaller than the one without laser. Overall, this study validates the influence of laser-assisted milling on Inconel 718 by predicting the cutting forces in FEA.

show abstract

Study on the Machinability Characteristics of Inconel 718 Super Alloy During Micro-Milling

Sredanović

Lakic

Kramar

et al. 2017

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

Numerical Analysis of Laser Preheating for Laser Assisted Micro Milling of Inconel 718

Cited by 8 publications

References 10 publications

A 3D FEM-based model of laser heating and machining for selection of process parameters and scanning path in laser-assisted machining of Ti6Al4V

A 3D FEM-based model of laser heating and machining for selection of process parameters and scanning path in laser-assisted machining of Ti6Al4V

Microstructure-sensitive flow stress modeling for force prediction in laser assisted milling of Inconel 718

Study on the Machinability Characteristics of Inconel 718 Super Alloy During Micro-Milling

Contact Info

Product

Resources

About