Mathematical Modeling of the Reliability of Polymer Composite Materials; Mathematics; Vol. 10, iss. 21

Mathematical Modeling of the Reliability of Polymer Composite Materials; Mathematics; Vol. 10, iss. 21

Dettagli Bibliografici
Parent link:Mathematics
Vol. 10, iss. 21.— 2022.— [3978, 19 p.]
Enti autori: Национальный исследовательский Томский политехнический университет Инженерная школа новых производственных технологий Отделение материаловедения, Национальный исследовательский Томский политехнический университет Инженерная школа новых производственных технологий Отделение машиностроения
Altri autori: Isametova M. E. Madina Esdauletovna, Nusipali R. Rolan, Martyushev N. V. Nikita Vladimirovich, Malozemov B. V. Boris Vitaljevich, Efremenkov (Ephremenkov) E. A. Egor Alekseevich, Isametov A. Aysen
Riassunto:Title screen
An urgent task in creating and using composite materials is the assessment and prediction of their performance properties and reliability. Currently, when studying the reliability of the materials, there is little experimental data, mathematical descriptions, and models for both probabilistic and deterministic methods to assess reliability. Based on the obtained experimental data, this article discusses the development of a methodology for predicting reliability. The article also proposes a statistical model for assessing reliability by the criterion of the structural strength of products made of polymer composite materials. The characteristics of the reliability changes in the materials when in operation are presented. The calculation allowed obtaining graphs showing the dispersion and statistical variability of the characteristics of polypropylene-based polymeric materials at the design, production, and operation stages of the product life cycle. The computational experimental results for determining the influence of the shape of inclusions and mass on the mechanical properties of a polymer composite material aimed at improving the strength characteristics of the products are presented. Based on a computational experiment in the MSC Digimat MF nonlinear solver, equations are provided to demonstrate the regression dependence of the strength of a part made of a polymer composite material on technological factors.
Lingua:inglese
Pubblicazione: 2022
Soggetti:
электронный ресурс
труды учёных ТПУ
modeling
mathematical methods
reliability of materials and structures
statistical characteristics
composite materials
polymeric materials
Accesso online:http://earchive.tpu.ru/handle/11683/74807
https://doi.org/10.3390/math10213978
Natura: Elettronico Capitolo di libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668525

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