Description
Laser powder bed fusion of metals by a laser beam (PBF-LB/M), due to its industrial applicability, represents a promising additive manufacturing technology for future production. The layerwise and selective melting of a powder layer enables an increased freedom in design. However, local process deviations can impede the mechanical properties. Therefore, applicable sensors are necessary for their detection and further industrial adoption of the process.
This thesis reports on identified correlations of properties of spatter particles to the microscopic process behavior and process zone formation and their applicability within the industrial process environment. For this first, a dedicated particle tracking velocimetry method is developed to spatially and temporally resolve the trajectories of the individual particles. Statistical spatter measurements are correlated to process observations revealing their connection to evaporation-driven mechanisms of the process. The applicability for the quantification of process-relevant measures of the microscopic process zone as well as the robustness of the identified correlations against changing process environments are investigated. Based on this, the transferability of the results from the lab environment into an industrially applicable sensing approach is demonstrated, enabled by a dedicated data processing approach for the derivation of spatter properties in real-time.
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