Digital Twin and Thread Ecosystem for Automated ICME and Modeling Workflow Optimization

MDMi Modeling Hub (MMH) aims to integrate modeling, testing, design, and manufacturing data into a digital ecosystem, accelerating the transition from ideation to implementation. By leveraging a robust and automated data management strategy, MMH will advance ICME and Digital Twin concepts, enabling experimental and virtual data to seamlessly drive model optimization and accuracy. In industries where production costs are high and performance is critical, benefits of modeling can be seen over the entire product lifecycle, reducing development costs and time-to-market. The value of modeling is irrefutable and capable of broad organizational impact, yet challenges in standardizing usage and understanding limitations have hindered effective implementation and widespread adoption. Further, in the absence of data management, the full potential of modeling is never realized. Some large organizations have developed tools to meet limited, highly specialized needs, the complex and resource-intensive nature of modeling creates a high barrier of entry that deters many organizations. There is a gap in commercial software that can simplify and automate multistep modeling and data storage processes. MMH has been designed to fill this gap. In Phase 1, a prototype software framework will demonstrate a scalable, interoperable, and traceable modeling solution that allows the creation of simplified and standardized workflows that integrate diverse user-developed models (ranging from physics to ML-based models, supporting numerical, text, and traceability data). MMH’s cloud-compatible approach will offer a holistic solution that can be configured to accelerate innovation throughout an organization. MMH forwards NASA goals of improving accessibility of data and analysis tools to drive collaboration to advance modeling. MMH will directly augment research within NASA’s Materials and Structures Division and significantly further NASA’s 2040 Vision.