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Pattern of Distribution of Carbon Nanotubes in the Matrix of Polymer Compositions for Wood Stabilization

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Networked Control Systems for Connected and Automated Vehicles (NN 2022)

Abstract

The paper presents the results of studying the patterns of distribution of carbon nanotubes in the matrix of polymer compositions for wood stabilization based on polyester resins—methyl methacrylate. As a result of testing samples of destructed wood with modification under short-term loads, it was found that the highest compressive and chipping strength along the fibers was achieved by samples modified with a polymer composition based on Anacrol 90W2 with the introduction of carboxylated nanotubes into the composition (25–30% increase in strength relative to the sample without modification). Using scanning electron microscopy on Quanto 200 3D equipment, the nature of the distribution of the filler inside the matrix was established. The filler introduced into the polymer in the form of carboxyl CNTs is distributed evenly, in contrast to pre-activation in an ultrasonic bath and conventional carbon nanotubes, which causes a greater increase in strength during the stabilization of destructed wood.

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Acknowledgements

The work was carried out within the framework of the grant of the President of the Russian Federation for state support of young Russian scientists—candidates of science (MK-2972.2021.4). The study was carried out using the equipment of the interregional multispecialty and interdisciplinary center for the collective usage of promising and competitive technologies in the areas of development and application in industry/mechanical engineering of domestic achievements in the field of nanotechnology (Agreement No. 075-15-2021-692 of August 5, 2021).

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Correspondence to Mikhail Lisyatnikov .

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Lisyatnikov, M., Sergeev, M., Chibrikin, D., Lukin, M. (2023). Pattern of Distribution of Carbon Nanotubes in the Matrix of Polymer Compositions for Wood Stabilization. In: Guda, A. (eds) Networked Control Systems for Connected and Automated Vehicles. NN 2022. Lecture Notes in Networks and Systems, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-031-11051-1_82

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