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Integrated statistical analysis and machine learning-based predictive modelling of mechanical properties in 3D printed acrylonitrile butadiene styrene via material extrusion for unmanned aerial vehicle applications

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Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, Ahead of Print.
Additive manufacturing (AM) through fused filament fabrication (FFF) offers great potential for producing lightweight and customized components for unmanned aerial vehicles (UAVs). However, achieving consistent mechanical performance remains challenging ...