Increasing 3D Printing Accuracy Through Convolutional Neural Network-Based Compensation for Geometric Deviations

Increasing 3D Printing Accuracy Through Convolutional Neural Network-Based Compensation for Geometric Deviations

As Additive Manufacturing (AM) evolves from prototyping to full-scale production, improving geometric accuracy becomes increasingly critical, especially for applications requiring high dimensional fidelity. This study proposes a machine learning-based approach to enhance the geometric accuracy of 3D...

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Bibliographic Details
Main Authors: Moustapha Jadayel, Farbod Khameneifar
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Machines
Subjects:
additive manufacturing
fused filament fabrication
convolutional neural network
geometric accuracy
3D printing
geometric compensation
Online Access:https://www.mdpi.com/2075-1702/13/5/382
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