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.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/epei63510.2024.10758154
Citations
1
Primary Topic
Metallurgy and Material Forming
Type
article
Field-Weighted Citation Impact
0.27
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article

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

Claudio Tosto, Gianluca Cicala, Raffaele Barbagallo, Lorena Saitta et al.
1 citations
Metallurgy and Material Forming
0.27
article

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

Claudio Tosto, Gianluca Cicala, Raffaele Barbagallo, Lorena Saitta, Ignazio Blanco
article en
1 citations

Abstract

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.

University of Catania (IT)
Openalex Percentile: Top 48%
Metallurgy and Material Forming
0.27
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