Open AccessResearch on Error Analysis and Online Recognition Method of Contour in 3D Printing
Author(s) -
Lianghua Zeng
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1605/1/012031
Subject(s) - software , fused deposition modeling , computer science , slicing , scripting language , nozzle , basis (linear algebra) , 3d printing , engineering drawing , kinematics , artificial intelligence , pattern recognition (psychology) , computer graphics (images) , engineering , mathematics , programming language , mechanical engineering , physics , geometry , classical mechanics
The accuracy of 3D printing is related to the software and hardware structure, such as modeling software, slicing software and the kinematic characteristics of nozzle components. In order to explore methods to improve printing accuracy, this paper conducts research based on fused deposition modeling (FDM). On the basis of the experiments, the constituent elements of the cross-sectional profile and the mechanism of its error are analyzed, and the insight software is used to verify. Finally, based on the idea of digital twins, this paper initially explores the online recognition method of contour.