Moog Gmbh

Paul K Guerrier

George L Small

James F Van Oss

James A Regenor

George S Baggs

Jason C Jones

A method for verifying and authenticating additive manufactured products utilizing extraterrestrial communication including generating a product geometry file, recording to a distributed transaction register stored on a server network having a plurality of node servers a first transaction reflecting the product geometry file, the first transaction having a first output associated with the first transaction and including a blockchain address, transmitting the first output between a terrestrial transceiver that is communicatively connected to the server network and an extraterrestrial transceiver that is communicatively connected to the terrestrial transceiver, and printing, with a 3D additive printer, a product that utilizes the product geometry file.

Outer space digital logistics system

A method for the verification and authentication of additive manufactured product, comprising the steps of receiving, from a customer, at least one customer requirement for a product, deriving at least one manufacturing requirement and generating a product geometry file for the product, recording, by a first computing device, to a distributed transaction register, a first transaction reflecting certification of the product geometry file, obtaining a first output reflecting the first transaction, printing the product with a 3D printer, recording, by a second computing device, to the distributed transaction register, a second transaction reflecting the printing of the product and the first output, obtaining a second output reflecting the second transaction, embedding within the product a unique code reflecting the second output, whereby the product geometry file and the printing of said product may be verified with the unique code such that the product may be authenticated.

Secure and traceable manufactured parts

An additive manufacturing system uses a trained artificial intelligence module as part of a closed-loop control structure for adjusting the initial set of build parameters in-process to improve part quality. The closed-loop control structure includes a slow control loop taking into account in-process build layer images, and may include fast control loop taking into account melt pool monitoring data. The artificial intelligence module is trained using outputs from a plurality of convolutional neural networks (CNNs) tasked with evaluating build layer images captured in-process and images of finished parts captured post-process. The post process images may include two-dimensional images of sectioned finished parts and three-dimensional CAT scan images of finished parts.

Growing community of inventors

Orchard Park, NY, United States of America

Paul K Guerrier