Machine Vision-Based Surface Defect Detection Study for Ceramic 3D Printing
A set of online inspection systems for surface defects based on machine vision was designed in response to the issue that extrusion molding ceramic 3D printing is prone to pits, bubbles, bulges, and other defects during the printing process that affect the mechanical properties of the printed produc...
Main Authors: | Jing Zhou, Haili Li, Lin Lu, Ying Cheng |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
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Series: | Machines |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1702/12/3/166 |
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