General Electric Company
METHODS AND SYSTEMS FOR GENERATING DEVICE-SPECIFIC MACHINE LEARNING MODEL

Abstract:

A method of transferring operational parameter sets between different domains of additive manufacturing machines includes creating a parameter set for a first additive manufacturing machine domain, accessing a model of a second additive manufacturing machine domain, creating a second parameter set of operational settings used to operate the second additive manufacturing machine, obtaining a second sensor data suite during the operation of the second additive manufacturing machine, comparing the second sensor data suite to one or more predetermined performance thresholds to determine if a product sample is within quality assurance metrics, and if the product sample is not within the quality assurance metrics, adjusting the second parameter set. A system for implementing the method and a non-transitory computer-readable medium are also disclosed.