What is in this article?:
- Demystifying the Digital Thread and Digital Twin Concepts
- Getting Beyond the Digital Challenges
Everything you wanted to know about two important Smart Manufacturing/Industrie 4.0 concepts, but were afraid to ask.
The concepts of the digital thread and digital twin have been spearheaded by the military aircraft industry in their desire to improve the performance of future programs. They apply lessons learned through these digital technologies to current and upcoming programs.
However, these concepts and technologies are gaining interest beyond the aerospace and defense industry and are converging with the digital manufacturing and cyber-physical system goals of Industrie 4.0 and Smart Manufacturing.
In the Industrie 4.0 roadmap, a cyber-physical system refers to the digital representation of a physical system used to communicate properties and live status to other cyber-physical systems and applications in future smart factories. Smart Manufacturing strives to orchestrate and optimize business, digital and physical processes across smart factories and the entire product value chain. As system architects evaluate these initiatives, it makes sense that these similar digital connectivity goals start converging into a single framework strategy for manufacturing systems.
The digital twin refers to a digital model of a particular asset that includes design specifications and engineering models describing its geometry, materials, components and behavior. More important, it also includes the as-built and operational data unique to the specific physical asset that it represents. For example, for an aircraft, the digital twin would be identified to the physical product unit identifier which is referred to as the tail number. The data in the digital twin of an aircraft includes things like specific geometry extracted from aircraft 3D models, aerodynamic models, engineering changes cut in during the production cycle, material properties, inspection, operation and maintenance data, aerodynamic models, and any deviations from the original design specifications approved due to issues and work-arounds on the specific product unit.
The digital thread refers to the communication framework that allows a connected data flow and integrated view of the asset’s data throughout its lifecycle across traditionally siloed functional perspectives. The digital thread concept raises the bar for delivering “the right information to the right place at the right time.”
Expected Benefits of a Digital Twin
The benefits expected from having a digital twin for each product unit include:
- More effective assessment of a system’s current and future capabilities during its lifecycle
- Early discovery of system performance deficiencies by simulating results way before physical processes and product are developed
- Optimization of operability, manufacturability, inspectability, and sustainability leveraging models and simulations applied during the entire lifecycle of each tail number
- Continuous refinement of designs and models through data captured and easily crossed referenced to design details
The digital thread should provide a formal framework for controlled interplay of authoritative technical and as-built data with the ability to access, integrate, transform, and analyze data from disparate systems throughout the product lifecycle into actionable information. The product lifecycle includes: Design, Procurement, Test & Evaluation, Production, Field Operation, and Sustainment Services.
Together, the digital thread and digital twin include as-designed requirements, validation and calibration records, as-built data, as-flown data, and as-maintained data.
Current and Future Scenarios
The current approach to the handover between departments follows the "throw it over the wall" approach, including the following:
- Product engineering creates a 3D model and throws it over the wall to Manufacturing Engineering
- Manufacturing Engineering creates 2D drawings from 3D models and throws it over the wall to Quality and Suppliers
- Quality creates conformance requirements and throws them over the wall to Production
- Production throws the product unit over the wall to the customer and into the sustainment cycle without any data on the specific unit beyond the original design
- Production archives as-built to records for auditing purposes
The future scenario, using the digital thread and digital twin, would look something like the following:
- Product Engineers working together with Manufacturing Engineers create a 3D model linked to visuals for production process instructions
- Product characteristics are linked to 3D models and extracted directly out of designs into conformance requirements
- Conformance requirements are linked to manufacturing process and inspection instructions
- As-built data is delivered by Production along with product unit to customer and is made available for sustainment services to continue evolving the unit’s data during operation and maintenance services
- Product design changes follow the same data flow and automatically update downstream models, references and instructions.