This article examines the mathematical modeling of heat and mass transfer processes under turbulent flow conditions. Flow characteristics are analyzed based on the Reynolds-Averaged Navier-Stokes (RANS) approach. Standard k-ε and k-ω turbulence models are employed for numerical computations. The intensity of heat and mass exchange is quantitatively assessed using Nusselt and Sherwood numbers. The influence of turbulent Prandtl and Schmidt numbers on process efficiency is investigated in detail. The obtained results are compared with empirical correlations and analyzed graphically.
| Mualliflar | Chulliev, Shoxrux |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2026-03-26 |
| Son | 1 |
| Betlar | 311-315 |
| Til | Rus |
turbulent flow, heat transfer, mass transfer, mathematical modeling, k-ε model, Reynolds number, Nusselt number, Sherwood number, turbulent diffusion, boundary layer., турбулентное течение, теплоперенос, массоперенос, математическое моделирование, k-ε модель, число Рейнольдса, число Нуссельта, число Шервуда, турбулентная диффузия, пограничный слой, turbulent oqim, issiqlik ko'chish, massa ko'chish, matematik modellashtirish, k-ε modeli, Reynolds soni, Nusselt soni, Sherwood soni, turbulent diffuziya, chegaraviy qatlam.
Image-based data, in particular, require significant computational resources, slowing down processing. This study investigates the efficiency of parallel image filtering on large-scale data using GPU. Filtering was…
This study presents a comprehensive simulation analysis of germanium (Ge) diffusion into silicon (Si) substrates with a resistivity of 100 Ω·cm (n-type) in the temperature range of 800–1200 °C using the Synopsys…
This paper provides a theoretical and practical analysis of the proposed multi-agent architecture for information systems based on a cognitive and modular approach. The study explored the possibilities of organizing the…
This article analyzes the effectiveness of malware detection methods using artificial intelligence technologies. With the rapid development of modern information and communication technologies, the number of malicious…
This article considers the problem of tracking state variables in nonlinear control objects under conditions of unknown harmonic disturbances affecting the output signal. The main goal of the research is to develop an…
The scarcity of labeled data remains a fundamental limitation of supervised learning models. This study proposes an autoencoder-based unsupervised approach for detecting anomalies in network traffic. Experiments…
Infrastructure for training artificial intelligence (AI) models requires high bandwidth and minimal latency. In developing countries, particularly Uzbekistan, the high cost of traditional InfiniBand networks poses a…
This article analyzes current trends in the field of cybersecurity. Today, the stable and protected operation of data transmission networks, computer systems, and mobile devices has become a fundamental condition…
The article presents the development of an intelligent control structure for a mechatronic module designed to display 3D graphics. The main objective is to achieve high precision in controlling the module’s spatial…
This article presents a study of a dictionary-based pre-filter for safe educational content generation in a school environment. An Android application based on the MVVM architecture was developed as an experimental…