Energy Consumption Prediction for Fused Deposition Modelling 3D Printing Using Machine Learning

Energy Consumption Prediction for Fused Deposition Modelling 3D Printing Using Machine Learning

Additive manufacturing (AM) technologies are growing more and more in the manufacturing industry; the increase in world energy consumption encourages the quantification and optimization of energy use in additive manufacturing processes. Orientation of the part to be printed is very important for red...

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Bibliographic Details
Main Authors: Mohamed Achraf El youbi El idrissi, Loubna Laaouina, Adil Jeghal, Hamid Tairi, Moncef Zaki
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied System Innovation
Subjects:
additive manufacturing (AM)
fused deposition modelling (FDM)
machine learning
energy use
Gaussian process regression
Online Access:https://www.mdpi.com/2571-5577/5/4/86

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