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

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

doi:10.19693/j.issn.1673-3185.03498

Chinese Journal of Ship Research, Volume. 19, Issue 5, 35(2024)

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

Tianchen LI1... Yan'an ZHOU1, Zhiyong PEI2,3, and Weiguo WU23 |Show fewer author(s)

Author Affiliations

¹School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China

²Green & Smart River-Sea-Going Ship, Cruise and Yacht Research Center, Wuhan University of Technology, Wuhan 430063, China

³Hubei Province Engineering Research Center on Green & Smart River-Sea-Going Ship, Wuhan 430063, China

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Abstract Get PDF(in Chinese)

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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Keywords

improved ant colony optimization algorithm intelligent control of airflow microbubble drag reduction self-propelled model test

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Tianchen LI, Yan'an ZHOU, Zhiyong PEI, Weiguo WU. 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

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