Optimising 3D-printed carbon fibre composites using machine learning: Balancing strength and efficiency

Optimising 3D-printed carbon fibre composites using machine learning: Balancing strength and efficiency

Additive manufacturing (AM) of fibre-reinforced composites offers design freedom but necessitates a trade-off between mechanical performance and production speed. This study introduces a data-driven framework that integrates machine learning (ML) and genetic algorithms (GA) to optimise interlaminar...

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Bibliographic Details
Main Authors: José Humberto S. Almeida, Jr., Guilherme Ferreira Gomes
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Materials & Design
Subjects:
Artificial intelligence
Machine learning
3D printed composites
Multi-objective optimisation
Interlaminar properties
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127525007452
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http://www.sciencedirect.com/science/article/pii/S0264127525007452

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