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FUNCTIONAL MODELING OF AN INTELLIGENT 3D PRINTING CONTROL SYSTEM

Karmitsky Kirill Sergeevich  (Postgraduate Student Russian State Social University, Moscow, Russia )

Kuznetsov Andrey Sergeevich  (PhD (Engineering), Associate Professor Russian State Social University, Moscow, Russia )

This research article examines in detail the key issues related to the development of a formalized description of the development and operation of an automated information system for managing industrial 3D printing processes. The article, using a systems approach and structural analysis, discusses the creation of functional models of information processes for an automated information system for managing industrial 3D printing processes. A systems analysis of the industrial 3D printing process chain was performed. This system analysis examined in detail the organization and management features of industrial 3D printing processes. A set of information models detailing industrial 3D printing processes was constructed in the form of structured diagrams created using the IDEF0 functional modeling methodology: a generalized functional-technological scheme and decomposition diagrams detailing functional subprocesses. The paper examines the methodological foundations of the systems approach and proposes various models of the processes involved, describes the functional architecture of the system, and evaluates the prospects for using the proposed approach. The proposed information support for industrial 3D printing management processes serves as a model for information support of management decision-making.

Keywords:functional approach, information modeling, systems approach, development processes, industrial 3D printing, control processes, automated control system, information models

 

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Citation link:
Karmitsky K. S., Kuznetsov A. S. FUNCTIONAL MODELING OF AN INTELLIGENT 3D PRINTING CONTROL SYSTEM // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2026. -№01. -С. 103-109 DOI 10.37882/2223-2966.2026.01.19
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