Skip to main content
Digital twins are being integrated into additive manufacturing workflows to mitigate geometric and process-based cyber threats.
Technology
2 min read

Digital twins are being integrated into additive manufacturing workflows to mitigate geometric and process-based cyber threats.

Originally reported by 3Druck

Digital twins are being integrated into additive manufacturing workflows to mitigate geometric and process-based cyber threats. By creating a high-fidelity virtual replica of the build process, researchers aim to detect malicious alterations to CAD files or real-time sensor data manipulation in LPBF and DED systems. This approach focuses on verifying the integrity of the digital thread from design to the final part, ensuring that unauthorized modifications to toolpaths or laser parameters are identified before they compromise structural integrity. The implementation involves continuous monitoring of machine telemetry against the digital twin baseline to flag anomalies during the printing of critical components.

Cybersecurity in additive manufacturing remains a significant barrier to the adoption of distributed production models, particularly in aerospace and defense sectors where intellectual property theft and sabotage pose high risks. Current security solutions often focus on network perimeter defense, leaving the actual manufacturing process vulnerable to sophisticated attacks that alter print parameters at the machine controller level. As manufacturers increasingly move toward decentralized production, the ability to verify the authenticity of a build file and the consistency of the process is essential. This digital twin framework addresses the gap between traditional IT security and operational technology, providing a layer of validation that is currently missing in most industrial AM software stacks.

For manufacturers, the practical application of this technology requires the integration of real-time sensor data from the build chamber with the simulation model. Users should prioritize systems that support open API access to machine data, as proprietary closed-loop controllers will limit the effectiveness of external digital twin verification. The focus must remain on establishing a verifiable audit trail for every build, ensuring that the physical output matches the validated digital design intent without introducing latency into the production cycle.

Topics

additive manufacturingdigital twincybersecurityLPBFDEDindustrial softwareprocess monitoringdigital thread

How This Connects

6 related events
  1. Same pattern

    Austal USA launches Digital SEA secure additive manufacturing software platform hosted by US Navy

  2. Same pattern

    Stratasys Direct Selected for U.S. Department of War JAMA IV Pilot Program to Accelerate Part Qualification

  3. Same pattern

    Applied Rapid Technologies, a division of Obsidian Solutions Group, has secured a prime contractor position under the Defense Logistics Agency's Joint Additive Manufacturing Accept...

  4. This article

    Digital twins are being integrated into additive manufacturing workflows to mitigate geometric and process-based cyber threats.

  5. Same pattern

    HVM Catapult has launched a dedicated AI model center to provide independent evaluation and validation of artificial intelligence systems within the manufacturing sector.

  6. Same pattern

    Siemens Digital Industries Software is advancing its additive manufacturing portfolio by integrating convergent modeling and field-driven design capabilities into its NX software suite.

  7. Same pattern

    Krafton and Hanwha Aerospace have announced a strategic alliance to develop Physical AI technologies, centered on the formation of a joint venture to integrate software-defined int...