МОДЕЛЬ ЭЛЕКТРОМАГНИТНОГО ПОЛЯ ЭЛЕКТРОЛИТА С ДОБАВЛЕНИЕМ УГЛЕРОДНЫХ НАНОТРУБОК

This paper presents a comprehensive mathematical model aimed at analyzing the distribution of electric potential within an electrolyte volume, taking into account the polarization behavior of electrodes. Particular attention is paid to a cathode modified with carbon nanotubes (CNTs), which possess exceptional electrical conductivity and catalytic properties, significantly influencing the electrochemical processes occurring at the electrode–electrolyte interface. The model is based on the Laplace equation, which governs the steady-state distribution of electric potential in a conductive medium. Boundary conditions are formulated to reflect the nonlinear dependence of overpotential on current density, as well as the geometrical and microstructural characteristics of the CNT-modified surface. The finite element method is applied to numerically solve the problem, enabling accurate simulation of complex geometries and electrolyte heterogeneities. The simulation results highlight how nanostructuring of the electrode surface leads to a more uniform current distribution, reduced local overpotentials, and improved electrochemical performance. The findings can be utilized for optimizing electrode design in applications such as electroplating, electrochemical sensors, batteries, and other energy storage or conversion systems. The proposed model is adaptable for studying other types of nanostructured electrode modifications, thus expanding its applicability to a wide range of electrochemical technologies.

Authors

Publication Details

Journal
Батыс Қазақстан инновациялық-технологиялық университетінің Хабаршысы
Published
2025-06-30
DOI
https://doi.org/10.62724/202520306
Primary Topic
Carbon Nanotubes in Composites
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

МОДЕЛЬ ЭЛЕКТРОМАГНИТНОГО ПОЛЯ ЭЛЕКТРОЛИТА С ДОБАВЛЕНИЕМ УГЛЕРОДНЫХ НАНОТРУБОК

Игорь Дьяков
Батыс Қазақстан инновациялық-технологиялық университетінің Хабаршысы
Carbon Nanotubes in Composites
article

МОДЕЛЬ ЭЛЕКТРОМАГНИТНОГО ПОЛЯ ЭЛЕКТРОЛИТА С ДОБАВЛЕНИЕМ УГЛЕРОДНЫХ НАНОТРУБОК

Игорь Дьяков
article en

Abstract

This paper presents a comprehensive mathematical model aimed at analyzing the distribution of electric potential within an electrolyte volume, taking into account the polarization behavior of electrodes. Particular attention is paid to a cathode modified with carbon nanotubes (CNTs), which possess exceptional electrical conductivity and catalytic properties, significantly influencing the electrochemical processes occurring at the electrode–electrolyte interface. The model is based on the Laplace equation, which governs the steady-state distribution of electric potential in a conductive medium. Boundary conditions are formulated to reflect the nonlinear dependence of overpotential on current density, as well as the geometrical and microstructural characteristics of the CNT-modified surface. The finite element method is applied to numerically solve the problem, enabling accurate simulation of complex geometries and electrolyte heterogeneities. The simulation results highlight how nanostructuring of the electrode surface leads to a more uniform current distribution, reduced local overpotentials, and improved electrochemical performance. The findings can be utilized for optimizing electrode design in applications such as electroplating, electrochemical sensors, batteries, and other energy storage or conversion systems. The proposed model is adaptable for studying other types of nanostructured electrode modifications, thus expanding its applicability to a wide range of electrochemical technologies.

Батыс Қазақстан инновациялық-технологиялық университетінің ХабаршысыVol. 34(2)
Openalex Percentile: Top 89%
Carbon Nanotubes in Composites
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.