Authors:
Mohammad Ayaz Ahmad, P. Banupriya, S. Silvia Priscila
Addresses:
Department of Mathematics, Physics and Statistics, University of Guyana, Georgetown, Guyana, South America. Department of Chemistry, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. Department of Computer Science, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India.
Abstract:
In a power plant, pipes are essential flow paths where fluids or steam are transported from one point to another. The fact that the plant has clear procedures in place makes the exact analysis of pressure changes across a 90-degree U-shaped pipe important through Computational Fluid Dynamics, towards understanding and optimizing fluid flow. Such analyses are of considerable significance across various industries, including chemical processing, petroleum, and heating, ventilation, and air conditioning systems. Fluid flow through pipes induces frictional losses, which can, therefore, have an impact on both hydrodynamic and thermohydrodynamic performance. Often, other complications such as elbows, junctions, T-joints, contractions, expansions, valves, meters, pumps, and turbines accompany the bent pipes and consequently influence the fluid dynamics. The number of bends along the length of the pipe considerably affects the structure of the flow and the behaviour of the fluid. The pressure and stress distribution in bends are applied for CFD analysis, providing valuable insight into the hydrodynamic properties of the fluid under consideration, which in turn helps improve the system's efficiency and reliability. In this respect, understanding the dynamics is important to optimise pipe design and ensure that fluids are moved effectively in power plants and industrial systems.
Keywords: Fluent Analysis; CFD Ent pipe and Pressure; Fluid Pipe; Mesh Mode; Turbulent Kinetic Energy; Darcy Weisbach Formula; Pressure and Stress Distribution; T-Joint and Thermo-Hydrodynamics.
Received: 25/04/2024, Revised: 04/06/2024, Accepted: 13/08/2024, Published: 07/03/2025
DOI: 10.64091/ATIAS.2025.000113
AVE Trends in Intelligent Applied Sciences, 2025 Vol. 1 No. 1 , Pages: 27-36