Design of polymer composites based on visualization of experimental data

Abstract

Conventionally, the development of novel materials is based on numerous experimental and theoretical studies. They are aimed at establishing a correlation between various technological factors and final material properties. It allows one to determine their specific values ensuring the required characteristics. In the case of filled polymer composites, i) properties of phases, ii) their interaction pattern, iii) parameters of technological processes, etc. are taken into account. In general, the number of such control parameters is quite large, which makes the selection of their optimal values quite a complicated problem. On the other hand, many experimental studies are time-consuming and expensive. The paper describes several examples for using the method of visualization of incomplete experimental data. The latter allows to efficiently and clearly analyze and evaluate the effect of various technological factors on material properties, as well as to determine their “optimal” values for developing advanced materials with specified characteristics.

Original language	English
Title of host publication	Proceedings of the International Conference on Physical Mesomechanics. Materials with Multilevel Hierarchical Structure and Intelligent Manufacturing Technology
Editors	Victor E. Panin, Vasily M. Fomin
Publisher	American Institute of Physics Inc.
ISBN (Electronic)	9780735440463
DOIs	https://doi.org/10.1063/5.0034527
Publication status	Published - 14 Dec 2020
Event	International Conference on Physical Mesomechanics. Materials with Multilevel Hierarchical Structure and Intelligent Manufacturing Technology 2020 - Tomsk, Russian Federation Duration: 5 Oct 2020 → 9 Oct 2020

Publication series

Name	AIP Conference Proceedings
Volume	2310
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	International Conference on Physical Mesomechanics. Materials with Multilevel Hierarchical Structure and Intelligent Manufacturing Technology 2020
Country	Russian Federation
City	Tomsk
Period	5.10.20 → 9.10.20

ASJC Scopus subject areas

Physics and Astronomy(all)

Access to Document

10.1063/5.0034527

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Lyukshin, B. A., Bochkareva, S. A., Kornienko, L. A., Grishaeva, N. Y., Panov, I. L., Buslovich, D. G., & Panin, S. V. (2020). Design of polymer composites based on visualization of experimental data. In V. E. Panin, & V. M. Fomin (Eds.), Proceedings of the International Conference on Physical Mesomechanics. Materials with Multilevel Hierarchical Structure and Intelligent Manufacturing Technology [020190] (AIP Conference Proceedings; Vol. 2310). American Institute of Physics Inc.. https://doi.org/10.1063/5.0034527

Design of polymer composites based on visualization of experimental data. / Lyukshin, B. A.; Bochkareva, S. A.; Kornienko, L. A.; Grishaeva, N. Yu; Panov, I. L.; Buslovich, D. G.; Panin, S. V.

Proceedings of the International Conference on Physical Mesomechanics. Materials with Multilevel Hierarchical Structure and Intelligent Manufacturing Technology. ed. / Victor E. Panin; Vasily M. Fomin. American Institute of Physics Inc., 2020. 020190 (AIP Conference Proceedings; Vol. 2310).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lyukshin, BA, Bochkareva, SA, Kornienko, LA, Grishaeva, NY, Panov, IL, Buslovich, DG & Panin, SV 2020, Design of polymer composites based on visualization of experimental data. in VE Panin & VM Fomin (eds), Proceedings of the International Conference on Physical Mesomechanics. Materials with Multilevel Hierarchical Structure and Intelligent Manufacturing Technology., 020190, AIP Conference Proceedings, vol. 2310, American Institute of Physics Inc., International Conference on Physical Mesomechanics. Materials with Multilevel Hierarchical Structure and Intelligent Manufacturing Technology 2020, Tomsk, Russian Federation, 5.10.20. https://doi.org/10.1063/5.0034527

Lyukshin BA, Bochkareva SA, Kornienko LA, Grishaeva NY, Panov IL, Buslovich DG et al. Design of polymer composites based on visualization of experimental data. In Panin VE, Fomin VM, editors, Proceedings of the International Conference on Physical Mesomechanics. Materials with Multilevel Hierarchical Structure and Intelligent Manufacturing Technology. American Institute of Physics Inc. 2020. 020190. (AIP Conference Proceedings). https://doi.org/10.1063/5.0034527

Lyukshin, B. A. ; Bochkareva, S. A. ; Kornienko, L. A. ; Grishaeva, N. Yu ; Panov, I. L. ; Buslovich, D. G. ; Panin, S. V. / Design of polymer composites based on visualization of experimental data. Proceedings of the International Conference on Physical Mesomechanics. Materials with Multilevel Hierarchical Structure and Intelligent Manufacturing Technology. editor / Victor E. Panin ; Vasily M. Fomin. American Institute of Physics Inc., 2020. (AIP Conference Proceedings).

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abstract = "Conventionally, the development of novel materials is based on numerous experimental and theoretical studies. They are aimed at establishing a correlation between various technological factors and final material properties. It allows one to determine their specific values ensuring the required characteristics. In the case of filled polymer composites, i) properties of phases, ii) their interaction pattern, iii) parameters of technological processes, etc. are taken into account. In general, the number of such control parameters is quite large, which makes the selection of their optimal values quite a complicated problem. On the other hand, many experimental studies are time-consuming and expensive. The paper describes several examples for using the method of visualization of incomplete experimental data. The latter allows to efficiently and clearly analyze and evaluate the effect of various technological factors on material properties, as well as to determine their “optimal” values for developing advanced materials with specified characteristics.",

author = "Lyukshin, {B. A.} and Bochkareva, {S. A.} and Kornienko, {L. A.} and Grishaeva, {N. Yu} and Panov, {I. L.} and Buslovich, {D. G.} and Panin, {S. V.}",

note = "Funding Information: This research was performed according to the Government research assignment for ISPMS SB RAS, project No. III.23.1.3, and RFBR grant number 20-58-00032 Bel_a and 19-38-90106. The work was also supported by the RF President Council Grant for the support of leading research schools NSh-2718.2020.8. Publisher Copyright: {\textcopyright} 2020 American Institute of Physics Inc.. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; International Conference on Physical Mesomechanics. Materials with Multilevel Hierarchical Structure and Intelligent Manufacturing Technology 2020 ; Conference date: 05-10-2020 Through 09-10-2020",

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AU - Panin, S. V.

N1 - Funding Information: This research was performed according to the Government research assignment for ISPMS SB RAS, project No. III.23.1.3, and RFBR grant number 20-58-00032 Bel_a and 19-38-90106. The work was also supported by the RF President Council Grant for the support of leading research schools NSh-2718.2020.8. Publisher Copyright: © 2020 American Institute of Physics Inc.. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

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Y1 - 2020/12/14

N2 - Conventionally, the development of novel materials is based on numerous experimental and theoretical studies. They are aimed at establishing a correlation between various technological factors and final material properties. It allows one to determine their specific values ensuring the required characteristics. In the case of filled polymer composites, i) properties of phases, ii) their interaction pattern, iii) parameters of technological processes, etc. are taken into account. In general, the number of such control parameters is quite large, which makes the selection of their optimal values quite a complicated problem. On the other hand, many experimental studies are time-consuming and expensive. The paper describes several examples for using the method of visualization of incomplete experimental data. The latter allows to efficiently and clearly analyze and evaluate the effect of various technological factors on material properties, as well as to determine their “optimal” values for developing advanced materials with specified characteristics.

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