Affiliation:
1. Department of Engineering, University of Messina, 98166 Messina, ME, Italy
Abstract
This review explores a variety of techniques that utilize air injections beneath a vessel’s hull to reduce drag and consequently improve energy efficiency. It focuses on the methodologies of microbubble drag reduction (MBDR), air layer drag reduction (ALDR), and air cavity drag reduction (ACDR), offering insights into their design, operational mechanisms, and potential applications. This review provides a detailed examination of the underlying principles of these technologies, incorporating a blend of experimental research, numerical simulations, and mathematical modelling to offer a comprehensive understanding. It references recent experimental data, highlighting how these findings corroborate with numerical simulations and are further explained through mathematical models. Conclusively, this review accentuates the transformative influence of air injection methods in drag reduction within the maritime industry, emphasizing their pivotal role in boosting operational efficiency, reducing environmental impact, and driving the evolution of naval design and transportation. Through a balanced and detailed analysis, this review provides a holistic view of the current state and future prospects of these innovative resistance reduction strategies.
Reference73 articles.
1. Frictional drag reduction with air lubricant over a super-water-repellent surface;Fukuda;J. Mar. Sci. Technol.,2000
2. Practical added resistance diagrams to predict fouling impact on ship performance;Demirel;Ocean Eng.,2019
3. Experimental investigation of frictional resistance reduction with air layer on the hull bottom of a ship;Jang;Int. J. Nav. Archit. Ocean Eng.,2014
4. Chillemi, M., Cucinotta, F., Passeri, D., Scappaticci, L., and Sfravara, F. (2024). CFD-Driven Shape Optimization of a Racing Motorcycle, Springer Nature. Lecture Notes in Mechanical Engineering.
5. Stochastic optimization methods for ship resistance and operational efficiency via CFD;Diez;Struct. Multidiscip. Optim.,2018
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