10.14489/td.2026.08.pp.043-052

2026, 08 August

DOI: 10.14489/td.2026.08.pp.043-052

Naugolnova I. A., Zagidullin R. S., Volkodavova E. V.
QUALITY CONTROL AND DIAGNOSTICS IN ADDITIVE MANUFACTURING UNDER DIGITALIZATION CONDITIONS
(pp. 43-52)

Abstract. The article addresses the problem of quality assurance in additive manufacturing, which arises from the technological complexity and multiparametric nature of product fabrication processes. Based on an analysis of scientific publications, methods of quality control and diagnostics are systematized, and their fragmentation and limitations in practical application are identified. The purpose of the study is to develop a step-by-step algorithm for digital quality management in additive manufacturing, based on continuous monitoring of the technological process and product quality parameters, with approbation using the example of FDM printing of an unmanned aerial vehicle propeller. To achieve this goal, the authors structured quality parameters across all stages of the product life cycle (using the example of an unmanned aerial vehicle propeller manufactured by FDM printing) and developed an operational algorithm. The approbation of the algorithm demonstrated its practical applicability and effectiveness. The share of products with geometric deviations was reduced from 15 to 4 %, the stability of the temperature regime increased by 40 %, and the time required to analyze the causes of defects was reduced from several hours to minutes. The practical significance of the study lies in the possibility of applying the developed algorithm to build preventive quality management systems in real additive manufacturing environments, contributing to defect reduction, improved process repeatability, and cost minimization. Further research prospects include expanding the range of monitored parameters, improving predictive models, including digital twins, and forming databases for end-to-end optimization of the production process in relation to key operational properties of products.

Keywords: additive manufacturing, quality control, digitalization, FDM printing, management algorithm, process monitoring, predictive analytics.

+ - Информация об авторах (About the Authors) Click to collapse

I. A. Naugolnova (Samara State Medical University of the Ministry of Health of the Russian Federation, Samara, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
R. S. Zagidullin (Samara National Research University named after Academician S. P. Korolev, Samara, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
E. V. Volkodavova (Samara State University of Economics, Samara, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

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