Influence of the Functional Composition of the Surface of Carbon Nanofillers on the Physical and Mechanical Properties of Thermoelastoplastic Elastomers Developed for 3D Printing

When developing a material for 3D printing, thermoplastic behavior alone of the polymer is not sufficient; appropriate rheological characteristics are also required that allow the material to be easily extruded through a thin nozzle of a 3D printer. In this study, a composition based on a styrene–butadiene thermoplastic elastomer with rheological properties that allow the fabrication of products on a 3D printer is investigated. The influence of the ratio between the components of a mixed nanocarbon filler, including graphene and carbon nanotubes, and the distribution of adsorption centers on their surface on the physical and mechanical characteristics of a thermoplastic elastomer (TPE) based on a styrene–butadiene elastomer is studied. The optimal ratio between graphene and nanotubes is determined to be 1 : 3, which provides the maximum increase in tensile and compressive strength due to the combination of the reinforcing action of one-dimensional nanotubes and the interaction of two-dimensional graphene layers with the polymer matrix. It is established that the strengthening of the resulting compounds is correlated with the content of the Brønsted basic centers (BBCs) on the filler surface, characteristic of graphene and presumably corresponding to peroxide groups that promote cross-linking of the polymer matrix.

Authors

Institutions

Publication Details

Journal
Glass Physics and Chemistry
Published
2025-12-01
DOI
https://doi.org/10.1134/s1087659625600267
Primary Topic
Polymer Science and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of the Functional Composition of the Surface of Carbon Nanofillers on the Physical and Mechanical Properties of Thermoelastoplastic Elastomers Developed for 3D Printing

M. V. Timoshenko, M. F. Akhmatnabiev, S. V. Myakin, M. M. Sychev
Glass Physics and Chemistry
Polymer Science and Applications
article

Influence of the Functional Composition of the Surface of Carbon Nanofillers on the Physical and Mechanical Properties of Thermoelastoplastic Elastomers Developed for 3D Printing

M. V. Timoshenko, M. F. Akhmatnabiev, S. V. Myakin, M. M. Sychev
article en

Abstract

When developing a material for 3D printing, thermoplastic behavior alone of the polymer is not sufficient; appropriate rheological characteristics are also required that allow the material to be easily extruded through a thin nozzle of a 3D printer. In this study, a composition based on a styrene–butadiene thermoplastic elastomer with rheological properties that allow the fabrication of products on a 3D printer is investigated. The influence of the ratio between the components of a mixed nanocarbon filler, including graphene and carbon nanotubes, and the distribution of adsorption centers on their surface on the physical and mechanical characteristics of a thermoplastic elastomer (TPE) based on a styrene–butadiene elastomer is studied. The optimal ratio between graphene and nanotubes is determined to be 1 : 3, which provides the maximum increase in tensile and compressive strength due to the combination of the reinforcing action of one-dimensional nanotubes and the interaction of two-dimensional graphene layers with the polymer matrix. It is established that the strengthening of the resulting compounds is correlated with the content of the Brønsted basic centers (BBCs) on the filler surface, characteristic of graphene and presumably corresponding to peroxide groups that promote cross-linking of the polymer matrix.

Glass Physics and ChemistryVol. 51(6)
Petersburg Nuclear Physics Institute (RU), Institute of Chemistry of Silicates named after I.V. Grebenshchikov (RU), Central Research Institute of Structural Materials Prometey (RU), St. Petersburg State Technological Institute (RU)
Openalex Percentile: Top 39%
Polymer Science and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.