|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Automation of the ICME Workflow Incorporating Material Digital Twins at Different Length Scales Within a Robust Information Management System
||Brandon Hearley, Steven M. Arnold, Marianna Maiaru
|On-Site Speaker (Planned)
Recent successes in Integrated Computational Materials Engineering (ICME) have demonstrated the potential in designing fit-for-purpose materials for a given application in a cost and time efficient manner. However, the material design process must contain a level of automation in the material decision process, implementing some optimization algorithms, to truly enable the full benefits of ICME, particularly when considering materials at multiple length/time scales. In this work, we will demonstrate how the GRC ICME schema and Python framework automates a workflow that captures, analyzes, maintains, and disseminates the digital footprint in the context of tailoring resin material at the nanoscale of a woven composite Y-joint at the macroscale for an Aurora D8 double-bubble fuselage. This digital footprint incorporates the interaction of both structural digital twins and material twins at various length scales.
||Planned: Other (describe below)