Reaming process, a piercing process, a tapping process, a blasting Process, a photochemical process, a dry etching process, an electroĭischarge machining process, a broaching process, a facing process,Ī polishing process, a lapping process, a pickling process, a Milling process, a wet chemical etching process, a lithography Process, a boring process, a trepanning process, an ion beam The method of claim 4, wherein the subtractive process comprisesĪ cutting process, a turning process, a milling process, a drilling Molding process, an overwrapping process, or any combinationĩ. Process comprises a filament winding process, a layup process, a The method of claim 4, wherein the composite manufacturing Process, a saddling process, a spin forming process, an upsettingĨ. Hydroforming process, a break forming process, a casting process, aīarreling process, a compacting process, a blooming process, aĭrawing process, a deep drawing process, a spring forming process,Ī winding process, a wire process, a knurling process, a rolling Process, a superplastic forming process, a blow forming process, a The method of claim 4, wherein the forming process comprises aįorging process, an extrusion process, a sheet metal bending Hardfacing process, a butter welding process, or any combinationħ. Welding process, a bonding process, a micro-joining process, a The method of claim 4, wherein the joining process comprises a Process, a sculpting process, a cladding process, or anyĦ. Oxygen fuel (HVOF) spraying process, an electrolytic coating Process, a painting process, a cold spray process, a high velocity Process comprises a deposition process, a chemical vapor deposition The method of claim 4, wherein the additive manufacturing
Process, a surface preparation process, an inspection process, anĪssembly process, or any combination thereof.ĥ. The method of claim 1, wherein the manufacturing processĬomprises an additive manufacturing process, a joining process, aįorming process, a composite manufacturing process, a subtractive Is incorporated into the training data set.Ĥ.
Inspection data, or post-build inspection data for each iteration Iteratively and process characterization data, in-process The method of claim 1, wherein steps (b)-(d) are performed Using the machine learning algorithm that has been trained usingģ.
One or more manufacturing process control parameters is derived The method of claim 1, wherein the starting set or sequence of Or more manufacturing process control parameters in real-time.Ģ. The machine learning algorithm provides output values to adjust one Real-time process characterization data or in-process inspectionĭata is provided as input to a machine learning algorithm that hasīeen trained using the training data set of step (b), and wherein Manufacturing process to fabricate or assemble the object, wherein Of one or more manufacturing process control parameters forįabricating or assembling the object and d) performing the Object design of step (a) c) providing a starting set or sequence Portions thereof that are the same as or different from the input Set comprises process simulation data, process characterizationĭata, in-process inspection data, post-build inspection data, orĪny combination thereof, for a plurality of object designs or Object b) providing a training data set, wherein the training data Process, the method comprising: a) providing an input design for an A method for real-time adaptive control of a manufacturing REAL-TIME ADAPTIVE CONTROL OF MANUFACTURING PROCESSES USING MACHINE Invention is credited to Tim ELLIS, Jordan NOONE. The applicant listed for this patent is Relativity Space, Inc. patent application number 16/688740 was filed with the patent office on for real-time adaptive control of manufacturing processes using machine learning.
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