To Refinement of the Estimation of the Electrical Conductivity of Filled Polymers from Texture Pattern of the Macrostructure Image; AIP Conference Proceedings; Vol. 2167 : Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2019 (AMHS'19)
| Parent link: | AIP Conference Proceedings Vol. 2167 : Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2019 (AMHS'19).— 2019.— [020225, 3 p.] |
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| Summary: | Title screen An approach to the estimation of the electrical conductivity of filled polymers based on a complex of texture parameters of the macrostructure image is suggested using image transformation into a binary form based on models of color space analysis. Suitability of the suggested complex of texture parameters for estimation of filled polymer properties has been experimentally proved. Possibility of individual matching of the texture parameters to a specific electrophysical characteristic for prognostic estimation is shown. Texture parameters that change monotonously along with the increase of filler concentration are revealed. It is found out that the "contrast" parameter is the most sensitive to changes of filler concentration. The characteristics of the texture pattern close in values to the electrophysical characteristics considered in the paper are revealed. Режим доступа: по договору с организацией-держателем ресурса |
| Idioma: | inglés |
| Publicado: |
2019
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| Subjects: | |
| Acceso en liña: | https://doi.org/10.1063/1.5132092 |
| Formato: | Electrónico Capítulo de libro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661515 |
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| 200 | 1 | |a To Refinement of the Estimation of the Electrical Conductivity of Filled Polymers from Texture Pattern of the Macrostructure Image |f N. N. Minakova, V. Ya. Ushakov | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 14 tit.] | ||
| 330 | |a An approach to the estimation of the electrical conductivity of filled polymers based on a complex of texture parameters of the macrostructure image is suggested using image transformation into a binary form based on models of color space analysis. Suitability of the suggested complex of texture parameters for estimation of filled polymer properties has been experimentally proved. Possibility of individual matching of the texture parameters to a specific electrophysical characteristic for prognostic estimation is shown. Texture parameters that change monotonously along with the increase of filler concentration are revealed. It is found out that the "contrast" parameter is the most sensitive to changes of filler concentration. The characteristics of the texture pattern close in values to the electrophysical characteristics considered in the paper are revealed. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | 1 | |0 (RuTPU)RU\TPU\network\4816 |t AIP Conference Proceedings | |
| 463 | 1 | |0 (RuTPU)RU\TPU\network\31884 |t Vol. 2167 : Advanced Materials with Hierarchical Structure for New Technologies and Reliable Structures 2019 (AMHS'19) |o Proceedings of the International Conference, 1–5 October 2019, Tomsk, Russia |f National Research Tomsk Polytechnic University (TPU) ; Institute of Strength Physics and Materials Science SB RAS (Russia) ; eds. V. E. Panin ; S. G. Psakhie ; V. M. Fomin |v [020225, 3 p.] |d 2019 | |
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| 610 | 1 | |a параметры | |
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| 610 | 1 | |a электрофизические характеристики | |
| 700 | 1 | |a Minakova |b N. N. | |
| 701 | 1 | |a Ushakov |b V. Ya. |c specialist in the field of electric power engineering |c Professor of Tomsk Polytechnic University, Doctor of technical sciences |f 1939- |g Vasily Yakovlevich |3 (RuTPU)RU\TPU\pers\29718 |9 14212 | |
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