Neuro-fuzzy control of the process of feeding wire material in additive technologies of the FDM family

FDM-based 3D-printing is one of the most common kinds of additive technologies. A typical printing unit consisting of a material feeding device and a printing head has a number of significant drawbacks associated with the lack of control over the basic parameters of extrusion. Basically, the only co...

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Bibliographic Details
Published inRussian electrical engineering Vol. 88; no. 11; pp. 697 - 700
Main Authors Bezukladnikov, I. I., Khizhnyakov, Yu. N., Yuzhakov, A. A.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 2017
Springer Nature B.V
Subjects
Artificial neural networks
Engineering
Extrusion
Feeding
Fuzzy control
Fuzzy logic
Machines
Manufacturing
Multiagent systems
Neural networks
Processes
Three dimensional printing
FDM-technologies
additive technologies
3D-printing
fuzzy logic
neural networks
neuralfuzzy control
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Summary:FDM-based 3D-printing is one of the most common kinds of additive technologies. A typical printing unit consisting of a material feeding device and a printing head has a number of significant drawbacks associated with the lack of control over the basic parameters of extrusion. Basically, the only controlled parameter is the heating temperature. The article considers an alternative point of view on the problem, based on the multiagent approach and on elements of fuzzy and neural-fuzzy logic, which allows, through the introduction of additional feedbacks and simultaneous consideration of several basic parameters, to improve the quality of material extrusion, and to reduce the influence of the wire-material quality on the final 3D-printing result.
ISSN:1068-3712
1934-8010
DOI:10.3103/S1068371217110025