Abstract:
Present study is to investigate the flow of hybrid-nanofluid (Hnf) with thermosmaterial exchange considering the influence of a activation energy and magnetic effect beyond parallel, twin revolving planes, incorporating Artificial Intelligence AI-based machine learning technique. Artificial intelligence is rapidly advancing across various fields, providing innovative solutions and significantly improving the ability to analyze complex scenarios and pattern in diverse areas. The critical parameters like Prandtl number, suction/injection parameter, Schmidt number, and material parameter are taken into consideration in order to understand the flow characteristics and heat transfer rates in this research. To synthesize the Hnf, polymer/CNT matrix nanocomposites (MNCs) are dissolved in water. These MNCs, made from polymer and CNT, demonstrate exceptional properties and high efficiency. Their outstanding thermophysical characteristics make them highly valuable in the field of engineering and biomedical research. We have expressed the fluid flow as a system of partial differential equations (PDEs) then by the appropriate similarity transformations, the system of nonlinear PDEs is converted into a set of nonlinear ODEs, thereby reducing the complexity and order of the system and solved numerically using the MATLAB. It is also noted that the fluid velocity declines due to the combined effects of suction/injection, Reynolds number, and the concentration of polymer/CNT MNCs. As the concentration of polymer/CNT MNCs in water increases, both energy and mass profiles are reduced. The energy field increases as a result of the heat source term, while the concentration field diminishes under the influence of the Schmidt number.
Page(s):
165-165
DOI:
DOI not available
Published:
Journal: 4th International Conference of Sciences “Revamped Scientific Outlook of 21st Century, 2025” , November 12,2025, Volume: 1, Issue: 1, Year: 2025
Keywords:
machine learning
,
Artificial intelligence
,
Thermophysical
,
Carbon Nano Tubes
,
Schmidth number