Shiwei Ma

Mr. Shiwei Ma

School of Mechanical and Materials Engineering, North China University of Technology, Beijing, China
orcid

Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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29 May 2023 in Biomimetics
Verified
Journal Article
Open access
PDF file
SMShiwei Ma
Shiwei Ma
QZQuanliang Zhao
Quanliang Zhao
MDMeixi Ding
Meixi Ding
MZMengying Zhang
Mengying Zhang
LZLei Zhao
Lei Zhao
GHGuangping He
Guangping He
The present study focuses on summarizing the recent advancements in the field of fish swimming mode research and bionic robotic fish prototypes based on smart materials. It has been widely acknowledged that fish exhibit exceptional swimming efficiency and manoeuvrability compared to conventional underwater vehicles. In the pursuit of developing autonomous underwater vehicles (AUVs), conventional experimental methods often prove to be complex and expensive. Hence, the utilization of computer simulations for hydrodynamic modelling provides a cost-effective and efficient approach for analysing the swimming behaviour of bionic robotic fish. Additionally, computer simulations can provide data that are difficult to obtain through experimental methods. Smart materials, which integrate perception, drive, and control functions, are increasingly being applied to bionic robotic fish research. However, the utilization of smart materials in this field is still an area of ongoing research and several challenges remain unresolved. This study provides an overview of the current state of research on fish swimming modes and the development of hydrodynamic modelling. The application of four distinct types of smart materials in bionic robotic fish is then reviewed, with a focus on analysing the advantages and disadvantages of each material in driving swimming behaviour. In conclusion, the paper highlights the key technical challenges that must be addressed for the practical implementation of bionic robotic fish and provides insights into the potential future directions of this field.

28 December 2023 in Carbon
Verified
Journal Article
Closed access
QZQuanliang Zhao
Quanliang Zhao
SMShiwei Ma
Shiwei Ma
HZHong-Kuan Zhang
Hong-Kuan Zhang
MRMing-Ke Ren
Ming-Ke Ren
MZMeng-Ying Zhang
Meng-Ying Zhang
MCMao-Sheng Cao
Mao-Sheng Cao