Перегляд за Автор "Mahmood, Raid"

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    Computational Investigation: CFD guide for the Evaporation process in Heat Pipe
    (Igor Sikorsky Kyiv Polytechnic Institute, 2025) Ahmed, Dalal; Mahmood, Raid
    Heat pipes are essential components in various industrial applications due to their exceptional heat transfer capabilities, which significantly enhance thermal management systems. Their ability to efficiently dissipate heat with minimal temperature gradients makes them invaluable in electronics cooling, aerospace systems, and energy recovery processes. This study presents a detailed two-dimensional Computational Fluid Dynamics (CFD) simulation to analyze the temperature distribution and phase change dynamics during evaporation within a heat pipe. The simulation is conducted using ANSYS Fluent, where a 2D model of the heat pipe is developed, and an optimized computational mesh is generated to ensure accuracy in the numerical results. The k-ε turbulence modelis employed to accurately capture the fluid flow behavior, accounting for the complex interactions between vapor and liquid phases. The working fluid selected for this investigation is a nanorefrigerant (Al2O3/R11), chosen for its enhanced thermal properties that contribute to improved heat transfer efficiency. The simulation results reveal a significant temperature gradient in the evaporator section, highlighting the critical role of heat flux in determining thermal resistance. Additionally, the study examines how variations in heat input influence the overall thermal performance of the heat pipe. The findings from this CFD analysis provide valuable insights into the evaporation process, which is driven by phase change phenomena, and offer practical designguidelines for optimizing heat pipe performance. By understanding the intricate relationship between fluid dynamics, heat transfer, and material properties,this research significantly contributes to the development of more efficient and sustainable thermal management solutions for industrial applications
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    Horizontal Biomass Gasifier in Zakho: Computational Guide and Investigation
    (Igor Sikorsky Kyiv Polytechnic Institute, 2025) Taher, Mayaf; Mahmood, Raid
    The horizontal biomass gasifier represents a promising and sustainable solution for addressing both the growing energy needs and environmental challenges in Zakho City, Iraq. This study explores the utilization of locally available biomass waste to produce clean, renewable energy through a horizontal burner gasifier system. By converting organic waste into combustible gas, the system offers a practical pathway toward reducing pollution and mitigating the environmental impact of waste accumulation. The primary goal of this research is the development, validation, and optimization of a computational model capable of accurately predicting the thermal and fluid dynamics of a horizontally configured gasifier under local operating conditions. Using Computational Fluid Dynamics (CFD) simulations in ANSYS Fluent 2024 R2, the study investigates combustion dynamics, temperature distribution, flow behavior, and heat transfer within the gasifier. The model was constructed based on actual geometry, fuel properties, and pressure-driven boundary conditions, ensuring realistic physical representation. A mesh-independence study confirmed numerical stability, while turbulent flow and combustion were modeled using the standard k–ε and eddy-dissipation approaches. Validation against published experimental data demonstrated excellent agreement, with less than 6 % deviation from reported results. Parametric optimization revealed that an air flow rate of 28–32 m³/h yields a maximum temperature of approximately 1450 °C and a thermal efficiency near 91 %, establishing the optimum operational range for this configuration. The horizontal orientation exhibited more uniform temperature gradients and improved mixing compared to vertical systems. This revised investigation not only strengthens the physical and computational understanding of biomass gasification in horizontal systems but also provides a robust modeling foundation for future 3D simulations and experimental validation, supporting broader adoption of biomass-based renewable energy technologies in similar regions.