Predictive Modeling for Mechanical Strength in 3D-Printed ABS Polymer Specimens Using Machine Learning Algorithms
This study focuses on developing predictive models for estimating tensile strength in 3D-printed acrylonitrile butadiene styrene specimens, fabricated through Fused Filament Fabrication (FFF) technology, and seeks to identify optimal FFF conditions for improved material performance.