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IOP conference series. Materials Science and Engineering, 2021-06, Vol.1159 (1), p.12059
2021

Details

Autor(en) / Beteiligte
Titel
Computer materials science of electrical construction composite materials with specified properties
Ist Teil von
  • IOP conference series. Materials Science and Engineering, 2021-06, Vol.1159 (1), p.12059
Ort / Verlag
Bristol: IOP Publishing
Erscheinungsjahr
2021
Link zum Volltext
Quelle
Electronic Journals Library
Beschreibungen/Notizen
  • Abstract This article is devoted to computer materials science of electrical construction composite materials for obtaining materials with specified properties. The idea, principles and distinctive features of computer materials science are given. An approach to solving a number of problems is described, which makes it possible to fully take into account the presence of random elements that are present in the process of forming composite materials. Implementation of algorithms is implemented, in which results obtained in previous stages affect progress of algorithms execution in subsequent stages. The radar absorbing material is considered in detail using the example of radar absorbing concrete. It has been proved that with multi-factor dependence, it is possible to optimize the composition only using an automated computer system that calculates the composition of the concrete mixture. One possible computer material science problem has shown that in order to increase absorption efficiency, it is necessary to substantially increase the effective absorption volume, which can be achieved by increasing the non-conductive layers in order to reduce the through conductivity of the radar absorbent concrete, i.e., as if to break the material into a large number of small electromagnetic screens. In this case, the volume of interaction of the material with the electromagnetic field extends deep into the material and is made commensurate with the size of the sample. In conclusion, a possible list of tasks and directions for the development of computer materials science is presented.
Sprache
Englisch
Identifikatoren
ISSN: 1757-8981
eISSN: 1757-899X
DOI: 10.1088/1757-899X/1159/1/012059
Titel-ID: cdi_iop_journals_10_1088_1757_899X_1159_1_012059

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