Predicting Properties of Fused Filament Fabrication Parts through Sensors and Machine Learning

Predicting Properties of Fused Filament Fabrication Parts through Sensors and Machine Learning

Fused filament fabrication (FFF), colloquially known as 3D-printing, has gradually expanded from the laboratory to the industrial and household realms due to its suitability for producing highly customized products with complex geometries. However, it is difficult to evaluate the mechanical performa...

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Bibliographic Details
Main Authors: Zijie Liu, Gerardo A. Mazzei Capote, Evan Grubis, Apoorv Pandey, Juan C. Blanco Campos, Graydon R. Hegge, Tim A. Osswald
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
additive manufacturing
material extrusion
machine learning
in-line sensor
properties prediction
Online Access:https://www.mdpi.com/2504-4494/7/5/186

Internet

https://www.mdpi.com/2504-4494/7/5/186

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