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Development of an Aerodynamics Calculation Model for a Fan With a Wing.

Authors :
Akhmejanov, Alibi
Akhmejanov, Madi
Ryskaliyev, Bolatbek
Kolesnikova, Kateryna
Source :
Procedia Computer Science; 2024, Vol. 251, p532-537, 6p
Publication Year :
2024

Abstract

This article presents a study on developing and verifying a computational model of the aerodynamics of a fan with a wing. The main goal was to create an accurate and reliable model to predict the fan's aerodynamic characteristics under various conditions using advanced computational fluid dynamics (CFD) methods implemented in ANSYS software. The development process included creating geometric and mesh models, setting boundary conditions, and performing numerical calculations. Emphasis was placed on grid independence and numerical convergence analysis, allowing optimal model parameter selection for accuracy with minimal computational costs. Simulation results accurately predicted key aerodynamic characteristics such as thrust, friction, and pressure coefficients. Using this model at the design stage enabled early identification and resolution of potential problems, improving fan aerodynamics and increasing energy efficiency. Benefits include reduced operating costs and lower carbon dioxide emissions, which is particularly relevant given rising energy prices and stricter environmental regulations. This model can be adapted for other ventilation systems, opening new opportunities in various industries and aviation. The study highlights the importance of developing accurate computational models, not only for predicting aerodynamic characteristics but also for improving the design and operation of ventilation systems. These models save time and resources, enhance product quality and reliability, and have a significant impact on engineering systems. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
251
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
181489557
Full Text :
https://doi.org/10.1016/j.procs.2024.11.144