研究目的
Investigating the inline evaluation of surfaces and the application of remelting strategies in Laser Beam Melting of Metals (LBM-M) to address surface roughness issues.
研究成果
The study successfully demonstrates a method for inline surface evaluation in Laser Beam Melting of Metals (LBM-M) and shows potential for controlled application of remelting to improve surface quality. However, further development is needed to address the limitations related to scan-direction and position dependencies of melt pool emissions.
研究不足
The melt pool emissions are dependent on scan-direction and position, which can affect the accuracy of surface evaluation. The image processing algorithm fails to reproduce lower waviness values measured with confocal microscopy for surfaces induced by a short island scan strategy.
1：Experimental Design and Method Selection:
The study involves the use of a coaxial melt pool monitoring system for inline evaluation of surfaces and the application of remelting strategies to improve surface quality.
2：Sample Selection and Data Sources:
Specimens of 13 x 13 x 8 mm are manufactured with LBM-M to create a reproducible consistent surface topography.
3：List of Experimental Equipment and Materials:
A M2 Cusing laser beam melting machine by Concept Laser GmbH with two 400 Watt fiber lasers and a melt pool monitoring (MPM) system are used. The particle size distribution and morphology of the powder materials are measured prior to the experiments.
4：Experimental Procedures and Operational Workflow:
The process involves manufacturing test cubes with varying scan-parameters to induce surface defects, analyzing these defects offline, and applying remelting strategies to improve surface quality.
5：Data Analysis Methods:
The surface topography is analyzed using confocal microscopy, and the melt pool monitoring data is analyzed by means of image processing.
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