This presentation reports on spatial (3D) and temporal (time-based) quantitative, in-process quality metric™ (IPQM®) data based on interrogation of “attributes of the process.” These IPQM®s were inferred from and reported on using the in-process dynamical behaviors of the melt pool at a scan, layer and part level. Effects of the melt pool radiated emission were spectrographically considered and understood before mining the melt pool for representative in-process thermal-history feature. This thermal feature data was then used to generate 3D point clouds and 2D trend plots of melt pool behavior as a function of process input variables. Alloy-specific process maps were generated for variations in laser power, laser scan speed, quantitative density data, and the associated, independently measured in-process quality metric™ data from the melt pool. Additionally, Thermal Signatures were produced and correlations to AM machine process defects were demonstrated.
- Adopt an in process quality approach to additive manufacturing
- Describe why in process quality is vital to the industrialization of additive manufacturing
- Utilize in process quality to increase production yields in additive manufacturing
Why Is It Important?
In-process quality is viewed as a major roadblock to the wide scale industrialization of additive manufacturing.