Metal drilling with a CO2 laser beam. II. Analysis of aluminum drilling experiments

Armon, E.; Hill, Megan R.; Spalding, I. J.; Zvirin, Y.

doi:10.1063/1.343172

Cited by 20 publications

(6 citation statements)

References 3 publications

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“…For laser-based cutting and drilling of aluminum, several techniques are in hand. For example, laser drilling can be carried out by the use of CO 2 lasers [1] or by applying NIR-laser irradiation in the picosecond range [2,3]. For laser pulses in the range of some nanoseconds (ns), it was shown that the ablation rate can be increased by double-pulsed ablation in the UV-, VIS-, and NIR-wavelength range [4].…”

Section: Introductionmentioning

confidence: 99%

Atmospheric pressure argon plasma-assisted enhancement of laser ablation of aluminum

et al. 2012

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In this paper, we present a hybrid laser-plasma ablation method for material processing applications. For this purpose, a coaxial configuration consisting of a low-temperature atmospheric pressure argon plasma beam and a Nd:YAG-laser at a wavelength of 355 nm was used. Both pure laser ablation and hybrid laser-plasma ablation experiments were performed on aluminum at different laser energies and numbers of laser pulses. In the case of hybrid ablation, both the depth and volume ablation rates were increased significantly in comparison to pure laser ablation. This effect is described by a linear interrelationship of both the ablation rate and the particularly applied laser energy and is thus due to energetic synergies. Such behavior can be explained by the de-excitation of argon plasma species and an accompanying energy deposition at the generated debris and the sample surface. The energetic effect was found to abate with increasing ablation depth. However, considerable improvements in terms of ablation rate are achieved in the near-surface depth range of approx. 500 microns

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Section: Introductionmentioning

confidence: 99%

Atmospheric pressure argon plasma-assisted enhancement of laser ablation of aluminum

et al. 2012

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“…Armon et al formulated a 1-D metal drilling problem based on the enthalpy balance method and solved the problem by using the Crank-Nicholson method [5]. They also conducted an experimental investigation on metal drilling with a CO2 laser beam and analyzed the experimental results by using their theoretical model [6]. A more rigorous treatment of melt expulsion was presented by Ganesh et al [7], which employed a 2-D transient generalized model and incorporated conduction, convection and phase change heat transfer during laser drilling; this model, however, is computationally demanding.…”

Section: Introductionmentioning

confidence: 99%

Melt flow and heat transfer in laser drilling

Yang

Chen

Zhang

2016

International Journal of Thermal Sciences

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During the laser drilling process the recoil pressure drives melt flow and affects the heat transfer and material removal rate. To get a more realistic picture of the melt flow, a series of differential equations are formulated here that govern the process from pre-heating to melting and evaporation. In particular, the Navier-Stokes equation governing the melt flow is solved with the use of the boundary layer theory and integral methods. Heat conduction in solid is investigated by using the classical method with the corrections that reflect the change in boundary condition from the constant heat flux to Stefan condition. The dependence of saturation temperature on the vapor pressure is taken into account by using the Clausius-Clapeyron equation. Both constantly rising radial velocity profiles and rising-fall velocity profiles are considered. The proposed approach is compared with existing ones. In spite of the assumed varying velocity profiles, the proposed model predicts that the drilling hole profiles are very close to each other in a specific super alloy for given laser beam intensity and pulse duration. The numerical results show that the effect of melt flow on material removal can be ignored in some cases. The findings obtained from the current work provide a better understanding of the effects of melt flow and vaporization on the laser drilling profile evolution, and could improve the solid material removal efficiency. , melting temperature at solid-liquid interface [K] 0 , saturation temperature at pressure 0 , [K] , saturation temperature at pressure , [K] , pulse on time, [s] , dimensionless radial velocity in the free flow Keywords

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“…Armon et al used the Crank-Nicholson approach to solve a one-dimensional metal drilling issue that they had developed using the enthalpy balancing method [5]. They also performed an experimental examination on CO2 laser drilling of metal, and they used their theoretical model to assess the experimental findings [6]. Ganesh et al [7], who used a two-dimensional transient generalized model and included conduction, convection, and phase change heat transfer during laser drilling, gave a more thorough study of melt expulsion.…”

Section: Introductionmentioning

confidence: 99%

Phase Change Analysis of Robot Laser Drilling with Accuracy Enhancement by Deep Learning

AbdAli

Maaroof

2022

IJAEFEA

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In this investigations, heat transfer mechanism of laser drilling process is analyzed by using Matlab program 8.5. Calculations of the heat impacted zone were also done. The moving boundary condition generates phase shift and influences heat transfer during the laser drilling process. The classical approach is used to study heat conduction in solids, with modifications made to account for the boundary condition transition from Stefan to continuous heat flow.According to the suggested model, for a given laser beam intensity and pulse time, the drilling hole profiles in a certain material will be quite near to one another. Robot placement errors are complicated since there are many different sources for them, programming in the python language examined. The positioning precision of the robot is improved, and its application capabilities are increased, to reinforced machine learning. The suggested methodology offers a simple and direct method for real-time robot position modification in industrial settings during production setup or readjustment situations. a deep learning approach used to increase the operational positioning precision of an articulated robot. Approximately 300 iterations later, the placement accuracy had significantly improved.

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Metal drilling with a CO2 laser beam. II. Analysis of aluminum drilling experiments

Cited by 20 publications

References 3 publications

Atmospheric pressure argon plasma-assisted enhancement of laser ablation of aluminum

Atmospheric pressure argon plasma-assisted enhancement of laser ablation of aluminum

Melt flow and heat transfer in laser drilling

Phase Change Analysis of Robot Laser Drilling with Accuracy Enhancement by Deep Learning

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