A Frequency Optimization Method Considering Acoustic Cavitation for Maximizing Received Power in Underwater Wireless Ultrasonic Power Transfer Systems

Underwater Wireless Acoustic Power Transfer (UWAPT) systems face severe efficiency limitations from acoustic cavitation during high-power operation. This paper presents a comprehensive optimization method to mitigate this limitation. A cavitation threshold model, derived from the linearized Rayleigh–Plesset equation, is integrated with an acoustic absorption model to determine optimal operating frequencies for maximizing received acoustic power while avoiding cavitation. The optimization method effectively addresses the trade-off between cavitation thresholds and frequency-dependent absorption. Simulation experiments demonstrate the benefit of the proposed method, achieving a significant enhancement in power transfer efficiency compared to UWAPT systems without frequency optimization. For example, received power at 10 m transmission distance and 50 m operating depth is increased by 17.8%. Further analysis shows that the optimal frequency is influenced by environmental factors such as depth, salinity, and transmission distance. Simulation experiments in diverse underwater environments verify that the proposed method provides a robust solution for enhancing the efficiency and reliability of UWAPT systems.

Authors

Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2025-10-22
DOI
https://doi.org/10.3390/jmse13112023
Citations
1
Primary Topic
Wireless Power Transfer Systems
Type
article
Field-Weighted Citation Impact
0.73

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Frequency Optimization Method Considering Acoustic Cavitation for Maximizing Received Power in Underwater Wireless Ultrasonic Power Transfer Systems

Zhongzheng Liu, Nahid Al Mahmud, Yanzhang Geng, Tao Zhang et al.
1 citations
Journal of Marine Science and Engineering
Wireless Power Transfer Systems
0.73
article

A Frequency Optimization Method Considering Acoustic Cavitation for Maximizing Received Power in Underwater Wireless Ultrasonic Power Transfer Systems

Zhongzheng Liu, Nahid Al Mahmud, Yanzhang Geng, Tao Zhang, Yuhang Li
article en
1 citations

Abstract

Underwater Wireless Acoustic Power Transfer (UWAPT) systems face severe efficiency limitations from acoustic cavitation during high-power operation. This paper presents a comprehensive optimization method to mitigate this limitation. A cavitation threshold model, derived from the linearized Rayleigh–Plesset equation, is integrated with an acoustic absorption model to determine optimal operating frequencies for maximizing received acoustic power while avoiding cavitation. The optimization method effectively addresses the trade-off between cavitation thresholds and frequency-dependent absorption. Simulation experiments demonstrate the benefit of the proposed method, achieving a significant enhancement in power transfer efficiency compared to UWAPT systems without frequency optimization. For example, received power at 10 m transmission distance and 50 m operating depth is increased by 17.8%. Further analysis shows that the optimal frequency is influenced by environmental factors such as depth, salinity, and transmission distance. Simulation experiments in diverse underwater environments verify that the proposed method provides a robust solution for enhancing the efficiency and reliability of UWAPT systems.

Journal of Marine Science and EngineeringVol. 13(11)
Tianjin University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 22%
Wireless Power Transfer Systems
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.