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This is a record of a document published elsewhere, first published by the United States Patent and Trademark Office, as US-12585231-B2, on 24 March 2026. OpenTechnical did not first disclose it. The identifier, hashes and timestamps below record what this library served and when, not when the material became public. View the original.

OT-2026-000001548

Digital-twin-enabled artificial intelligence system for distributed additive manufacturing

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Permanent URL
Classification
Sensors, Controls & Machine Vision › Industrial Control
Inventors
BLIVEN BRENT, CELLA CHARLES HOWARD, SHARMA KUNAL
Assignee
STRONG FORCE VCN PORTFOLIO 2019 LLC
Original source
US-12585231-B2, the United States Patent and Trademark Office, 24 March 2026
Document SHA-256
82957369ea32b8e10481cbca2fd04e82a1d0af9fb00d55e6fcd1742f48204a64

Abstract

An information technology system for a distributed manufacturing network includes an additive manufacturing platform configured to manage workflows for a set of distributed manufacturing network entities associated with the distributed manufacturing network. The information technology system includes a set of digital twins generated by the additive manufacturing platform. The information technology system includes an artificial intelligence system configured to be executed by a data processing system in communication with the additive manufacturing platform. The artificial intelligence system is trained to generate process parameters for the workflows managed by the additive manufacturing platform using data collected from the set of distributed manufacturing network entities. The information technology system includes a control system configured to adjust the process parameters during an additive manufacturing process performed by at least one of the set of distributed manufacturing network entities.

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Citation

OpenTechnical Publication OT-2026-000001548, “Digital-twin-enabled artificial intelligence system for distributed additive manufacturing,” published September 15, 2026 at 19:06:36 UTC, https://opentechnical.org/p/OT-2026-000001548.

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