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.
Info
Call: |
ITALY – USA SCIENCE AND TECHNOLOGY COOPERATION CALL FOR JOINT RESEARCH PROPOSALS FOR THE YEARS 2023-2025 |
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Start Date: |
01/01/2023 |
Duration: | 3 years |
Coordinator
Partner
MUL2 Investigators
Marco Petrolo, Enrico Zappino, Rebecca Masia, Martina Santori
UW Investigators
Navid Zobeiry, Caleb Schoenholz