研究目的
To understand the influence of the individual machine on the final quality of predesigned specimens, given a specific material and from multiple perspectives, in order to assess the current capabilities and limitations of the technology and compare them with the capabilities of an 11-year-old machine.
研究成果
The benchmarking revealed that even the newest machines did not outperform the older machine, highlighting the importance of user experience and expertise. The study provided a clear representation of the status of LPBF technology, emphasizing the need for more robust processes in terms of repeatability and less dependence on user experience.
研究不足
The study focused on one process (LPBF) and one material (maraging steel grade 300), limiting the generalizability of the results to other processes and materials. The influence of user experience and expertise on the final product quality was noted as a significant factor.
1：Experimental Design and Method Selection:
The benchmarking was designed to evaluate multiple aspects of LPBF machines, including accuracy, repeatability, complex feature production, homogeneity, residual stress, mechanical properties, build speed, and tall parts production.
2：Sample Selection and Data Sources:
Predesigned specimens were manufactured by five top machine producers and two end users using maraging steel grade 300 (
3：2709). List of Experimental Equipment and Materials:
GOM Atos ScanBox 5108 16M 3D scanner, Taylor Hobson Form Talysurf 50 profilometer, optical microscope, ImageJ software, Minitab software.
4：Experimental Procedures and Operational Workflow:
Specimens were manufactured, scanned, and analyzed for dimensional accuracy, surface roughness, density, residual defects, and mechanical properties.
5：Data Analysis Methods:
Data from the 3D scanner were analyzed with GOM Inspect software, surface roughness measurements were conducted according to DIN EN ISO standards, and statistical analysis was performed using Minitab software.
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