研究目的
Investigating the effects of subatmospheric pressures on keyhole dynamics and melt flow behaviors during laser welding of 5A06 aluminium alloy to understand and reduce porosity defects.
研究成果
The study concludes that subatmospheric pressures significantly improve laser welding quality by producing a more stable keyhole, reducing porosity defects, and increasing penetration depth. The numerical model developed accurately predicts these effects, showing good agreement with experimental results.
研究不足
The study assumes the fluid flow in the molten pool is laminar and incompressible, and the material is isotropic with properties dependent only on temperature. The model simplifies the multi-component system of 5A06 aluminium alloy to an Al-Mg binary system, which may not fully capture all interactions. The study also does not account for permeation among phases.
1:Experimental Design and Method Selection:
A novel 3D numerical model was developed to simulate keyhole dynamics and melt flow behaviors under subatmospheric pressures, incorporating vapor–liquid equilibria calculation and Wilson equation for boiling point and recoil pressure optimization. A moving hybrid heat source model was used to describe laser energy distribution.
2:Sample Selection and Data Sources:
5A06 aluminium alloy was used as the base material. The chemical composition was provided, and the alloy was treated as an Al-Mg binary system for simplification.
3:List of Experimental Equipment and Materials:
A 10 kW fiber laser (IPG YLS-10000) with a wavelength of 1060 nm was used for welding. The experiments were performed in a vacuum chamber capable of achieving subatmospheric pressures.
4:Experimental Procedures and Operational Workflow:
Laser welding was performed at a constant speed of 1 m/min under various ambient pressures (105, 103, 101 Pa). The process was observed using a high-speed camera to capture plasma plume morphology and weld pool dynamics.
5:Data Analysis Methods:
The numerical results were compared with experimental weld profiles and porosity distributions detected by X-ray to validate the model.
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