研究目的
To improve the process efficiency of additive technologies by increasing mass deposition rate and reducing postprocessing time through the modification of the shape and size of the molten pool via optimization of laser beam power distribution.
研究成果
Beam oscillation significantly affects the heat flux and molten pool dimensions during laser metal deposition. Increasing the oscillation amplitude up to the laser beam radius decreases the heat flux rapidly to 53%. Larger beam radii reduce the effect of amplitude on molten pool width and lower the allowable oscillation amplitude. Beam oscillation also promotes smoother wall surfaces without macroscopic waviness.
研究不足
The study is limited to Ti-6Al-4V alloy and may not be directly applicable to other materials. The effects of beam oscillation are analyzed under specific conditions, and variations in process parameters could lead to different outcomes.
1：Experimental Design and Method Selection:
The study involved laser metal deposition with linear beam oscillation to analyze the effects of process parameters on pool shape and size. The heat conduction problem was solved analytically by Green’s function method.
2：Sample Selection and Data Sources:
Ti-6Al-4V alloy was used for deposition. The process parameters varied included power, deposition rate, beam radius, oscillation amplitude, and frequency.
3：List of Experimental Equipment and Materials:
A robotic system for laser metal deposition composed of a 5 kW fiber laser with IPG D 30 Wobble Module, a coaxial slit nozzle, a six-axis robot manipulator, a two-axis positioner, and a sealed chamber.
4：Experimental Procedures and Operational Workflow:
Deposition was carried out in 100% argon atmosphere with oxygen concentration less than 0.1%. The criteria for optimal process parameters included the absence of plasma plume, single pass sidewall width more than 3.0 mm, and absence of defects.
5：1%. The criteria for optimal process parameters included the absence of plasma plume, single pass sidewall width more than 0 mm, and absence of defects.
Data Analysis Methods:
5. Data Analysis Methods: The microstructure of the build parts was examined using a light metallographic microscope. Temperature fields were studied to understand the effects of beam oscillation.
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