Enhancing Surface Fault Detection Using Machine Learning for 3D Printed Products

Enhancing Surface Fault Detection Using Machine Learning for 3D Printed Products

In the era of Industry 4.0, the idea of 3D printed products has gained momentum and is also proving to be beneficial in terms of financial and time efforts. These products are physically built layer-by-layer based on the digital Computer Aided Design (CAD) inputs. Nonetheless, 3D printed products ar...

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Bibliographic Details
Main Authors: Vaibhav Kadam, Satish Kumar, Arunkumar Bongale, Seema Wazarkar, Pooja Kamat, Shruti Patil
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied System Innovation
Subjects:
additive manufacturing
fault detection
fused deposition modelling
machine learning
image analysis
Online Access:https://www.mdpi.com/2571-5577/4/2/34

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