Optimizing Dimensional Accuracy in Metal Fused Filament Fabrication: A Study on Shrinkage Prediction for 316L Parts

This study explores the development and application of linear regression models to accurately predict and control the shrinkage behavior of 316L stainless steel parts produced using metal Fused Filament Fabrication (metal FFF), specifically following the critical debinding and sintering stages. The research investigates the effects of incremental dimensional variations along the $X, Y$, and Z axes on shrinkage, with the objective of refining predictive accuracy and minimizing dimensional deviations. The need to predict the shrinkages is particularly relevant for the fabrication of complex metal components, such as heat exchangers in power electronics, where precise control over small-scale geometries and spatial constraints is essential.