General Electric (GE) reports that researchers at its Additive Research Lab, GE Global Research, Niskayuna, New York, USA, are working to combine computer vision and machine learning to develop a type of metal Additive Manufacturing system with the ability to self-inspect its manufacturing process in real-time.
According to GE, the eventual goal of the project is to build a system which can achieve ‘100{261f6ead6a0f3cabae584e9904bae8bd53a3c91c6c837aa2d58453541104ad2d} yield’ – wherein a machine only produces perfect parts, eliminating the need for post-processing and inspection.
Some large and complex parts, in particular those produced by GE Aviation, can take days or weeks to produce by metal Additive Manufacturing. Where post-process inspection is the only validation method available, errors and faults in parts may only be discovered after this extensive build-time.
General Electric (GE) reports that researchers at its Additive Research Lab, GE Global Research, Niskayuna, New York, USA, are working to combine computer vision and machine learning to develop a type of metal Additive Manufacturing system with the ability to self-inspect its manufacturing process in real-time.
According to GE, the eventual goal of the project is to build a system which can achieve ‘100{261f6ead6a0f3cabae584e9904bae8bd53a3c91c6c837aa2d58453541104ad2d} yield’ – wherein a machine only produces perfect parts, eliminating the need for post-processing and inspection.
Some large and complex parts, in particular those produced by GE Aviation, can take days or weeks to produce by metal Additive Manufacturing. Where post-process inspection is the only validation method available, errors and faults in parts may only be discovered after this extensive build-time.