This research focuses on leveraging artificial intelligence to augment the finite difference numerical method for modeling incompressible fluid flow in a defined rectangular area with specified initial and boundary conditions. While numerical methods are extensively utilized in addressing hydrodynamics challenges, their precision and effectiveness can be heightened through the incorporation of artificial intelligence methodologies like machine learning and deep neural networks. This study introduces a fusion of finite differences with artificial intelligence techniques to achieve enhanced precision and efficiency in fluid flow modeling within a rectangular domain. The outcomes of this investigation offer valuable insights for refining fluid flow modeling methodologies in diverse engineering contexts.
USE OF NUMERICAL METHODS AND ARTIFICIAL INTELLIGENCE IN FLUID FLOW CALCULATIONS
Published December 2024
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Abstract
Language
Қазақ
How to Cite
[1]
Tukenova Л., Auelbekov О., Abduraimova Б., Sapakova, C. and Sametova А. 2024. USE OF NUMERICAL METHODS AND ARTIFICIAL INTELLIGENCE IN FLUID FLOW CALCULATIONS. Bulletin of Abai KazNPU. Series of Physical and mathematical sciences. 88, 4 (Dec. 2024), 51–62. DOI:https://doi.org/10.51889/2959-5894.2024.88.4.005.