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Bulletin of Abai KazNPU. Series of Physical and mathematical sciences

USE OF NUMERICAL METHODS AND ARTIFICIAL INTELLIGENCE IN FLUID FLOW CALCULATIONS

Published December 2024

59

54

O. Auelbekov+
Kazakh National Women's Teacher Training University, Institute of Information and Computing Technologies
https://orcid.org/0000-0002-2903-9086
B. Abduraimova +
Eurasian National University named after L. N. Gumilyov
https://orcid.org/0000-0003-3913-1895
S. Sapakova+
International University of Information Technologies
https://orcid.org/0000-0001-6541-6806
A. Sametova+
Al-Farabi atyndagy Kazakh university, G. Daukeyev atyndagy Almaty power engineering and university
https://orcid.org/0000-0003-1849-8938
Almaty technological university
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L. Tukenova

Candidate of Physical and Mathematical Sciences, Dean of the Institute of Information Technologies of the Almaty Technological University, Associate Professor

Kazakh National Women's Teacher Training University, Institute of Information and Computing Technologies
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O. Auelbekov

Candidate of Physical and Mathematical Sciences, Associate Professor, Kazakh National Women's Teacher Training University, Associate Professor of the Institute of Information and Computing Technologies

Eurasian National University named after L. N. Gumilyov
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B. Abduraimova

Candidate of Technical Sciences, Associate Professor, L.N. Gumilyov Eurasian National University

International University of Information Technologies
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S. Sapakova

Candidate of Physical and Mathematical Sciences, Associate Professor, International University of Information Technologies, Department of Computer Engineering

Al-Farabi atyndagy Kazakh university, G. Daukeyev atyndagy Almaty power engineering and university
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A. Sametova

Doctoral student at Al-Farabi Kazakh National University, senior lecturer at G. Daukeev Almaty University of Energy and Communications

Abstract

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.

pdf (Қазақ)
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.