METHOD AND APPARATUS FOR THE ADDITIVE MANUFACTURING OF A WORKPIECE

A method for additive manufacture of a workpiece includes obtaining a dataset defining the workpiece in multiple workpiece layers. The method includes producing a respective layer and capturing an image of the layer. The method includes feeding the image to a statistical learning model to determine...

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Bibliographische Detailangaben
Hauptverfasser:	MILDE, Thomas, GHAZAEI, Ghazal, FREYTAG, Alexander
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	ADDITIVE MANUFACTURING TECHNOLOGY ADDITIVE MANUFACTURING, i.e. MANUFACTURING OFTHREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVEAGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING,STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING CALCULATING CASTING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING COUNTING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS MAKING METALLIC POWDER MANUFACTURE OF ARTICLES FROM METALLIC POWDER MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PERFORMING OPERATIONS PHYSICS POWDER METALLURGY REGULATING SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDEDFOR SHAPING OR JOINING OF PLASTICS TRANSPORTING WORKING METALLIC POWDER WORKING OF PLASTICS WORKING OF SUBSTANCES IN A PLASTIC STATE, IN GENERAL
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Beschreibung
Zusammenfassung:	A method for additive manufacture of a workpiece includes obtaining a dataset defining the workpiece in multiple workpiece layers. The method includes producing a respective layer and capturing an image of the layer. The method includes feeding the image to a statistical learning model to determine a defect vector of defect probabilities each indicating whether a respective layer defect is present. The method includes, in response to no layer defects being present, selectively solidifying the layer. The method includes, in response to at least one defect being present, reworking or reproducing the layer and repeating the recording and the feeding to determine the defect vector again. The method includes repeating the producing, the recording, the feeding, and the selectively solidifying such that further layers are produced one on top of the other. The respective material layers each are inspected using the previously trained statistical learning model.