Abstract:
Various ways in which material property variations of raw materials used in additive manufacturing can be identified and accounted for are described. In some embodiments, the raw material can take the form of powdered metal. The powdered metal can have any number of variations including the following: particle size variation, contamination, particle composition and particle shape. Prior to utilizing the powders in an additive manufacturing operation, the powders can be inspected for variations. Variations and inconsistencies in the powder can also be identified by monitoring an additive manufacturing with one or more sensors. In some embodiments, the additive manufacturing process can be adjusted in real-time to adjust for inconsistencies in the powdered metal.
Abstract:
The present invention provides a feature extraction system that extracts geometrical features of a part using in-process data acquired during an additive manufacturing process. The geometric features are extracted by applying a number of image processing operations to images taken of a powder bed during the additive manufacturing process. In this way, both internal and external geometries of the part can be characterized. In some embodiments, geometric feature extraction can be used in conjunction with other part characterizing operations, such as for example, thermal characterization processes.