Joint Project Polito MUL2 - University of Washington

An AI-assisted virtual manufacturing approach to mitigate defects in advanced composites

In the past two decades, composite manufacturing has become crucial for successful design, leading to increased research in computational simulation. Manufacturing simulation aims to capture the temporal and spatial distribution of parameters, e.g., chemical, physical, and mechanical properties, enabling various applications such as failure analysis and evaluation of equipment effects. Virtual manufacturing, incorporating AI, seeks to optimize processes, reduce defects, and enhance efficiency.

This project combines structural mechanics, material engineering, and AI to achieve first-time-right composite parts without the need for iterative physical molds and parts. The focus is on numerical hardening modelling, three-dimensional strain and stress prediction, defect reduction and the use of artificial intelligence for design and production optimisation.

This work was supported in part by the Italian Ministry of Foreign Affairs and International Cooperation, grant number US23GR12.

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