Accelerated Multiobjective Calibration of Fused Deposition Modeling 3D Printers Using Multitask Bayesian Optimization and Computer Vision

Accelerated Multiobjective Calibration of Fused Deposition Modeling 3D Printers Using Multitask Bayesian Optimization and Computer Vision

Proper process parameter calibration is critical to the success of fused deposition modeling (FDM) three‐dimensional (3D) printing, but is time‐consuming and requires expertise. While existing systems for autonomous calibration have demonstrated success in calibrating for a single objective, users m...

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Bibliographic Details
Main Authors: Graig S. Ganitano, Benji Maruyama, Gilbert L. Peterson
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Advanced Intelligent Systems
Subjects:
3D printing
autonomous experimentation
computer vision
Online Access:https://doi.org/10.1002/aisy.202400523
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https://doi.org/10.1002/aisy.202400523

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