Tong Yao

Dr. Tong Yao


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Journal Article
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DCDajian Cheng
Dajian Cheng
HZHuaqiang Zhang
Huaqiang Zhang
TYTong Yao
Tong Yao
MZMei Zhao
Mei Zhao
PTPingpeng Tang
Pingpeng Tang
As an innovative underwater propulsion technology, the rim-driven thruster (RDT) has garnered increasing attention due to its advantages over conventional diesel or gas turbine propulsion systems, including reduced noise, higher efficiency, and a compact structure. However, traditional hull–engine–propeller matching theories are not directly applicable to RDTs because of their unique shaftless and ducted characteristics. Based on conventional hull–engine–propeller matching theory and propeller design methodology, this study proposes a novel hull–engine–propeller matching approach tailored specifically to RDTs. The method enables rapid matching by using open-water characteristics for hull–engine–propeller matching. In the absence of open-water test data for shaftless propellers, key parameters derived from ducted propeller tests are used for matching based on open-water characteristics to design the shaftless propeller. The propeller is then optimized through computational fluid dynamics (CFD) simulations to achieve the required thrust performance, effectively enabling an equivalent replacement. The proposed method provides a practical framework for selecting and designing RDTs, improves overall propulsion efficiency, and offers specific guidelines for determining optimal motor design parameters.

18 September 2024 in Asian Journal of Control
Verified
Journal Article
Closed access
XWXinsheng Wang
Xinsheng Wang
BJBin Jiang
Bin Jiang
TYTong Yao
Tong Yao
HZHuaqiang Zhang
Huaqiang Zhang

25 September 2024 in IEEE Transactions on Applied Superconductivity
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Journal Article
Closed access
JSJin Shang
Jin Shang
HZHuaqiang Zhang
Huaqiang Zhang
TYTong Yao
Tong Yao
MZMei Zhao
Mei Zhao
DCDajian Cheng
Dajian Cheng
Disk motors characterized by a flat structure and high power density are suitable for use in shaftless rim thrusters. This study proposes a novel stator coreless disk motor with skewed wave winding, which is intended for use in shaftless rim thrusters of small underwater robots. It analyzes the generation mechanism of back electromotive force (EMF) and electromagnetic force for the skewed wave winding and designs three disk motors with different pole numbers (12 poles, 16 poles, and 24 poles) by varying the winding skewed angle. A positive correlation between motor efficiency and the number of poles is demonstrated through a finite element simulation on disk motors with different pole numbers. Finally, a prototype of the 16-pole motor is fabricated and tested to validate the effectiveness of the previous motor design

3 March 2022 in Journal of Agricultural and Food Chemistry
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Journal Article
Closed access
LXLin Xu
Lin Xu
SYShan-Chi Yi
Shan-Chi Yi
JLJiu-Ying Li
Jiu-Ying Li
TYTong Yao
Tong Yao
CXCong Xie
Cong Xie
WTWen-Wei Tang
Wen-Wei Tang

7 January 2024 in Asian Journal of Control
Verified
Journal Article
Closed access
ZZZhihao Zhang
Zhihao Zhang
TYTong Yao
Tong Yao
WHWeixin Han
Weixin Han

7 December 2024 in Energies
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Journal Article
Open access
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GSGuopeng Sun
Guopeng Sun
MZMei Zhao
Mei Zhao
JLJianjun Li
Jianjun Li
TYTong Yao
Tong Yao
HZHuaqiang Zhang
Huaqiang Zhang
The electrical load and the magnetic load of the transverse flux permanent magnet linear motor (TFPMLM) are decoupled from each other, which makes it easy to achieve modularization, and it has broad application prospects in the field of low speed and high thrust. Firstly, the topology structure of a cylindrical TFPMLM is proposed, and its working principle is introduced. Secondly, the basic electromagnetic performance of the motor is studied. Thirdly, the influence of the structural parameters on the flux linkage, back-EFM, and cogging force has been analyzed by the 3D finite element method (FEM). Then, the kriging agent model is constructed through the DOE experiment, and a set of size parameters with better performance are found by using a multi-objective genetic algorithm. Finally, the prototype and experimental setup have been developed. The calculated results and the measured results are in good agreement.