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Title Design and manufacturing of polymer composite materials using quality management methods
Authors Berladir, Khrystyna Volodymyrivna  
Mitalova, Z.
Pavlenko, Ivan Volodymyrovych  
Trojanowska, J.
Ivanov, Vitalii Oleksandrovych  
Rudenko, Pavlo Volodymyrovych
ORCID http://orcid.org/0000-0002-4287-8204
http://orcid.org/0000-0002-6136-1040
http://orcid.org/0000-0003-0595-2660
Keywords industrial growth
polymer composite material
cause-and-effect diagram
process innovation
Pareto diagram
quality function deployment
product innovation
small enterprise
Type Article
Date of Issue 2023
URI https://essuir.sumdu.edu.ua/handle/123456789/93169
Publisher Sumy State University
License Creative Commons Attribution - NonCommercial 4.0 International
Citation Berladir K., Mitalova Z., Pavlenko I., Trojanowska J., Ivanov V., Rudenko P. (2023). Design and manufacturing of polymer composite materials using quality management methods. Journal of Engineering Sciences (Ukraine), Vol. 10(2), pp. B16–B29. DOI: 10.21272/jes.2023.10(2).b3
Abstract Many factors influence the design and manufacturing of products from polymer composite materials. The expert assessment method was applied in the article for the corresponding analysis. A cause-and-effect diagram was built as a result of a preliminary analysis of the influence of factors on the primary indicator of product quality indicators (e.g., wear resistance). Based on the expert assessment results and quality function deployment analysis, the most critical factors affecting wear resistance were obtained: polymer brand, filler shape and size, technological parameters of mixing, pressing, sintering, and mechanical processing. Their impact was studied to establish quantitative dependencies. A stable value of the wear resistance of the product in the manufacturing process can be ensured by timely adjustment of the mixing, pressing, and sintering modes. As a result of the structural analysis of the process of developing materials with predetermined properties at the enterprise according to the IDEF0 methodology, the importance of assessing the risks associated with the process of multi-criteria optimization of their main quality indicators was confirmed.
Appears in Collections: Journal of Engineering Sciences / Журнал інженерних наук

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