Optimizing FDM process parameters: predictive insights through taguchi, regression, and neural networks
Ahmed Shany Khusheef,
Ramin Hashemi,
Mohammad Shahbazi
Abstract:Fused deposition modelling (FDM) is a popular additive manufacturing process used for rapid prototyping and the production of complex geometries. Despite its popularity, FDM's susceptibility to variations in numerous process parameters can significantly impact the quality, design, functionality, and mechanical properties of 3D printed parts. This study explores thirteen FDM process parameters and their influence on the mechanical properties of polylactic acid (PLA) polymer, encompassing surface roughness, warp… Show more
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