| Abstract Scope |
The computational digital twin (DT) being built by the Institute for Model-Based Qualification & Certification of Additive Manufacturing (IMQCAM) under NASA support comprises many component models. For the DT to fulfil its mission of predicting fatigue of metals AM parts, all these modules must be connected together into a seamless whole. Process space must be evaluated for all the key process variables, which means modeling microstructure at the grain scale (with texture), the phase scale (e.g., in Ti-6Al-4V), the defect (pore) scale and the precipitate scale, along with variations in compositions. For micromechanical modeling, the materials information must be upscaled to crack initiation, short crack growth, long crack growth, along with part geometry. Examples are given of workflows that connect these component models together along with discussion of data formats and uncertainty quantification. Data curation is straightforward compared to the technical and cultural challenges of data exchange. |