
Improving the quality of FDM 3D printing of UAV and aircraft parts and assemblies by parametric software changes
Author(s) -
R.S. Zagidullin,
N I Zezin,
N V Rodionov
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1027/1/012031
Subject(s) - 3d printing , software , fused deposition modeling , parametric statistics , engineering drawing , fault tree analysis , computer science , 3d model , fault (geology) , engineering , tree (set theory) , parametric design , mechanical engineering , reliability engineering , artificial intelligence , mathematics , programming language , geology , mathematical analysis , statistics , seismology
The article analyses and presents the classification of defects in parts obtained by FDM 3D printing technology. A fault tree has been built for the functional and structural analysis of the factors causing defects in parts produced by FDM 3D printing technology. Using the constructed fault tree, a method is proposed for eliminating defects in parts obtained by FDM 3D printing technology, based on parametric changes in software.