NUMERICAL PREDICTION RESISTANCE AND FLOW FIELD FOR SUBMARINE USING CFD METHOD

This paper reports on the numerical simulation of a submarine's resistance under submerged conditions using a CFD approach. The study also discusses how the mesh size influences the simulation outcomes. To verify the reliability of these computed results, a comparative analysis is performed against experimental data from towing tank tests. In addition, the article details the characteristics of the flow field around the submarine, including the pressure and skin friction distribution on submarine surface, which are vital for addressing challenges such as optimizing the hull design to reduce resistance. The research employs the DARPA SUBOFF – the US submarine model.

Authors

Publication Details

Journal
International Journal of Engineering Applied Sciences and Technology
Published
2025-05-01
DOI
https://doi.org/10.33564/ijeast.2025.v10i01.024
Primary Topic
Inertial Sensor and Navigation
Type
article
Field-Weighted Citation Impact
0.00
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article

NUMERICAL PREDICTION RESISTANCE AND FLOW FIELD FOR SUBMARINE USING CFD METHOD

Dung Quang Le
International Journal of Engineering Applied Sciences and Technology
Inertial Sensor and Navigation
article

NUMERICAL PREDICTION RESISTANCE AND FLOW FIELD FOR SUBMARINE USING CFD METHOD

Dung Quang Le
article en

Abstract

This paper reports on the numerical simulation of a submarine's resistance under submerged conditions using a CFD approach. The study also discusses how the mesh size influences the simulation outcomes. To verify the reliability of these computed results, a comparative analysis is performed against experimental data from towing tank tests. In addition, the article details the characteristics of the flow field around the submarine, including the pressure and skin friction distribution on submarine surface, which are vital for addressing challenges such as optimizing the hull design to reduce resistance. The research employs the DARPA SUBOFF – the US submarine model.

International Journal of Engineering Applied Sciences and TechnologyVol. 10(01)
Openalex Percentile: Top 77%
Inertial Sensor and Navigation
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