Wentao Sui

Dr. Wentao Sui


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

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

Representative Publications

View All Publications
6 May 2022 in Smart Materials and Structures
Verified
Journal Article
Closed access
HZHuirong Zhang
Huirong Zhang
LZLeian Zhang
Leian Zhang
YWYuanbo Wang
Yuanbo Wang
XYXiaohui Yang
Xiaohui Yang
RSRujun Song
Rujun Song
WSWentao Sui
Wentao Sui
This paper presents an asymmetric magnetic coupling piezoelectric energy harvester (PEH) based on galloping to scavenge low-speed wind. The piezoelectric beam of energy harvester undergoes bending and torsional vibration simultaneously due to the eccentric distance. By analyzing the kinetic energy, potential energy, and virtual work of the energy harvesting system, the mathematical model of harvester is constructed and verified by experiments. The optimal external load resistance is confirmed at different eccentric distances and wind speeds by experiments. Compared with traditional galloping piezoelectric energy harvester (GPEH), the asymmetric with magnetically coupling GPEH has a lower threshold wind speed, i.e. 2 m s −1 . And the asymmetric configuration contributes to a lower natural frequency and electromechanical coupling coefficient, which results in a lower power and voltage output. The potential energy of harvesting systems at different distances between two magnets are respectively numerical analyzed in detail. The theoretical results illustrate that the energy harvester operates in monostable and bistable at different magnet distances. And the threshold wind speed of energy harvester increases when the energy harvester works at bistable. According to the above analysis, this work provides a detailed guideline for mathematical modeling and performance improvement of asymmetric PEH based on galloping.

18 November 2021 in Ferroelectrics
Verified
Journal Article
Closed access
HZHuirong Zhang
Huirong Zhang
RSRujun Song
Rujun Song
JMJinpeng Meng
Jinpeng Meng
XLXiang Li
Xiang Li
WSWentao Sui
Wentao Sui
XYXiaohui Yang
Xiaohui Yang
This paper presents a direction adaptive energy harvester to scavenge multiple wind directions. A pair of rotatable hinges were fixed on a rotation axis to realize the orientation adaptive. The transverse bending vibration of piezoelectric beam induced by vortex shedding was converted into electricity while the change of relative position between magnets and coils output electricity too. The prototype of the energy harvester was fabricated and experiments were carried out. The harvester exhibited that the optimal power of piezoelectric and electromagnetic generation are, respectively, 5.19 mW and 0.32 mW in the wind speed range of 3.8 m/s to 6.4 m/s.

14 December 2023 in Engineering Applications of Artificial Intelligence
Verified
Journal Article
Closed access
JYJiancheng Yin
Jiancheng Yin
XZXuye Zhuang
Xuye Zhuang
WSWentao Sui
Wentao Sui
YSYunlong Sheng
Yunlong Sheng
YYYuantao Yang
Yuantao Yang

12 December 2023 in Measurement Science and Technology
Verified
Journal Article
Open access
PDF file
YDYaping Dou
Yaping Dou
SZShu Zheng
Shu Zheng
HRHuiru Ren
Huiru Ren
XGXuhui Gu
Xuhui Gu
WSWentao Sui
Wentao Sui
Aiming at the demand of rapid detection for coaxiality of crankshaft journal, a method of visual measurement of coaxiality error based on 3D point cloud is proposed. In this research, a laser scanner is utilized to obtain a 3D point cloud model of the part to be measured, and a circular method of rotary cutting is put forward to obtain equally spaced optimal slices of the journal. The center of the slice is then obtained using the Pratt circle fitting method optimized in this paper. After that, the center of the slice is used to obtain the common reference axis using the least squares method, which finally realizes the measurement of the coaxiality error. The experimental results show that the proposed method of getting the slices is more accurate, the maximum absolute error of the circle fitting method compared with the results of the coordinate measuring machine (CMM) is no more than 4.2 μm, and the maximum absolute error of the coaxiality detection results and the results of the CMM is 5.5 μm, which can satisfy the practical needs of fast and efficient measurement of the coaxiality error of crankshafts.

1 August 2010
Verified
Conference Paper
Closed access
WSWentao Sui
Wentao Sui
DZDan Zhang
Dan Zhang
In order to overcome the shortcomings in the traditional envelope analysis, the methods based on the wavelet transform and morphological filters are introduced for detecting defects in rolling element bearings. The method based on the analytic wavelet can be applied to non-linear and non-stationary bearing vibration signals. The method based on the morphological filters has the advantage of less computation, and it can be used for on-line diagnosis. The results show that the proposed methods can diagnose the faults in rolling element bearings.

4 April 2023 in Ferroelectrics
Verified
Journal Article
Closed access
DZDan Zhang
Dan Zhang
SZShu Zheng
Shu Zheng
YDYaping Dou
Yaping Dou
ZXZhilong Xing
Zhilong Xing
RSRujun Song
Rujun Song
WSWentao Sui
Wentao Sui
This paper presents a magnetic coupling piezoelectric energy harvester based on galloping and vortex-induced vibration to scavenge low-speed wind. The influence of magnet spacing on the piezoelectric energy harvester is analyzed by using a mathematical model. The power generation performance of the energy harvester is explored by changing the magnet spacing. The experimental results show that the distance is negative related to the onset wind speed. Vortex induced vibration still make the system have voltage output. The output power can be effectively improved by increasing the magnet spacing while the magnetic force beyond a certain range can be ignored.