Intelligent airflow control technology for microbubble drag reduction based on improved ant colony optimization algorithm

LI Tianchen; ZHOU Yan'an; PEI Zhiyong; WU Weiguo

doi:10.19693/j.issn.1673-3185.03498

Volume 19 Issue 5

Oct. 2024

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Chinese Journal of Ship Research > 2024 > 19(5): 35-42. > DOI: 10.19693/j.issn.1673-3185.03498 CSTR: 32390.14.j.issn.1673-3185.03498

LI T C, ZHOU Y A, PEI Z Y, et al. Intelligent airflow control technology for microbubble drag reduction based on improved ant colony optimization algorithm[J]. Chinese Journal of Ship Research, 2024, 19(5): 35–42 (in Chinese). DOI: 10.19693/j.issn.1673-3185.03498

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Intelligent airflow control technology for microbubble drag reduction based on improved ant colony optimization algorithm

LI Tianchen¹,
ZHOU Yan'an¹,
PEI Zhiyong^{2, 3,},
WU Weiguo^{2, 3}

1.
School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China
2.
Green & Smart River-Sea-Going Ship, Cruise and Yacht Research Center, Wuhan University of Technology, Wuhan 430063, China
3.
Hubei Province Engineering Research Center on Green & Smart River-Sea-Going Ship, Wuhan 430063, China

More Information

Received Date: August 08, 2023
Revised Date: September 09, 2023
Official website online publication date: September 11, 2023
Online first publication date on CNKI: November 07, 2023

This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Graphical Abstract

Abstract

Abstract

Objective
In order to improve the actual efficiency of microbubble drag reduction technology, this study develops intelligent airflow control technology for microbubble drag reduction based on an improved ant colony optimization (ACO) algorithm.
Methods
Based on the mechanism of microbubble drag reduction, the ideal optimal airflow rate at different speeds is obtained by carrying out microbubble drag reduction tests on a self-developed ship model prototype. The software system of intelligent airflow control technology is developed by employing the improved ACO algorithm. A self-propelled test on a ship model installed with an intelligent control hardware system is carried out to verify the actual drag reduction effect of this technology.
Results
The technology proposed in this study can effectively control the airflow to reach the optimal microbubble drag reduction condition, and can also monitor the speed change and adaptively control the airflow to achieve the best drag reduction conditions at various speeds.
Conclusion
This technique improves the automation and intelligence level of microbubble drag reduction technology while enhancing its actual efficacy.

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