https://sci.ldubgd.edu.ua/jspui/handle/123456789/12676 2026-08-13T19:40:29Z 2026-08-13T19:40:29Z Жиденко, Ілля Володимирович Чалий, Дмитро Олександрович Карбовник, Іван Дмитрович Клим, Галина Іванівна https://sci.ldubgd.edu.ua/jspui/handle/123456789/18843 2026-08-11T06:55:27Z 2024-11-28T00:00:00Z

Title: Computer-Based Modeling of Field-Managed Percolation in 3D Arrangements of Linear Nanotubes Authors: Жиденко, Ілля Володимирович; Чалий, Дмитро Олександрович; Карбовник, Іван Дмитрович; Клим, Галина Іванівна Abstract: The investigation focused on the phenomenon of percolation within a system of straight nanotubes, with the development of an adapted model to characterize this process. A computational algorithm was devised to ascertain the percolation probability of nanotubes, utilizing tools for 3D graphics visualization. The study delved into the impact of geometric dimensions and nanotube concentration on the percolation probability. The research explored the correlation between percolation probability and the dispersion angle, which determines the orientation of nanotubes. By analyzing this relationship, fundamental patterns emerged in the formation of conductive clusters under the influence of an electric field. This analysis facilitated the identification of optimal parameters for a nanotube system capable of demonstrating field-controlled percolation.

2024-11-28T00:00:00Z Жиденко, Ілля Володимирович Клим, Галина Іванівна Чалий, Дмитро Олександрович Карбовник, Іван Дмитрович https://sci.ldubgd.edu.ua/jspui/handle/123456789/18842 2026-08-11T06:42:47Z 2024-11-07T00:00:00Z

Title: Computer Modeling of Percolating Arrays of Bent Nanotubes Authors: Жиденко, Ілля Володимирович; Клим, Галина Іванівна; Чалий, Дмитро Олександрович; Карбовник, Іван Дмитрович Abstract: This study employs three-dimensional computer simulations to investigate the formation of nanotube networks within non-conductive volumes. The main focus is on analyzing the electrical properties of these networks, considering various conductivity mechanisms. The simulations provide a comprehensive exploration of nanotube networks with diverse geometrical parameters, offering insights into how these parameters affect their electrical behavior under different conditions. To ensure the reliability of our findings, rigorous validation procedures were implemented, comparing our computational results against established benchmarks. This validation process verified the accuracy and consistency of our simulations. Through systematic variation of the nanotube network’s geometric parameters in numerical experiments, we aimed to uncover the intricate relationship between network geometry and electrical conductivity. This approach allowed us to elucidate the complex dynamics governing nanotube networks’ electrical performance.

2024-11-07T00:00:00Z Жиденко, Ілля Володимирович Клим, Галина Іванівна Карбовник, Іван Дмитрович Костів, Юрій Михайлович Васильчишин, Іванна Іванівна Чалий, Дмитро Олександрович https://sci.ldubgd.edu.ua/jspui/handle/123456789/18841 2026-08-11T06:44:28Z 2024-11-25T00:00:00Z

Title: Thermal Properties of Refractory SWCNT-Based Nanocomposites Investigated by Automated Approach Authors: Жиденко, Ілля Володимирович; Клим, Галина Іванівна; Карбовник, Іван Дмитрович; Костів, Юрій Михайлович; Васильчишин, Іванна Іванівна; Чалий, Дмитро Олександрович Abstract: Thermal properties of refractory nanocomposites with embedded single-walled carbon nanotubes were investigated using proposed automated approach. In this approach, differences in nanocomposites with varying parameters, observed under temperature differentials and thermal loads, are highlighted. These findings are crucial for their integration into sensor systems and for applications requiring enhanced fire resistance. The results indicate that nanocomposites with a nanotube dispersion time of 2 hours exhibit a peak temperature difference of 55 “C, while those with a 1-hour dispersion time show a maximum difference of 50 °C. A comparative analysis of heat transfer dynamics suggests that extending the dispersion time by 1 hour increases fire resistance by 15%.

2024-11-25T00:00:00Z Рудавський, Іван Клим, Галина Іванівна Костів, Юрій Карбовник, Іван Жиденко, Ілля Володимирович Попов, Анатолій Конухова, Марина https://sci.ldubgd.edu.ua/jspui/handle/123456789/14719 2024-11-15T09:10:26Z 2024-10-01T00:00:00Z

Title: Utilizing an Arduino Uno-Based System with Integrated Sensor Data Fusion and Filtration Techniques for Enhanced Air Quality Monitoring in Residential Spaces Authors: Рудавський, Іван; Клим, Галина Іванівна; Костів, Юрій; Карбовник, Іван; Жиденко, Ілля Володимирович; Попов, Анатолій; Конухова, Марина Abstract: This study presents an air quality monitoring system that employs the Arduino Uno microcontroller. The system is augmented with a moving average filter and data fusion techniques from BME680 and CCS811 sensors, which are designed to process and combine data from these sensors. The system was tested and analyzed empirically across a range of residential environments in order to validate its efficacy. The findings indicated that the typical IAQ level in a bedroom was approximately 20 units. However, this level increased significantly, reaching 140 units, within minutes after the introduction of a 17% perfume spray. In contrast, the use of an aromatic diffuser resulted in a smaller increase in IAQ to 40 units, which returned to normal levels after ventilation. Moreover, the analysis demonstrated that the kitchen and bathroom exhibited inferior air quality in comparison to the bedroom. This was evidenced by elevated VOC and humidity levels, which were observed to be 10–20% higher due to the combined effects of household activities and inadequate ventilation. This study makes a significant contribution to the field of air quality monitoring by proposing a solution that employs sensor technology and data processing methods to enhance the quality of life within residential spaces. © 2024 by the authors.

2024-10-01T00:00:00Z