Guofu Gao

Prof. Dr. Guofu Gao

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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12 May 2023 in Ultrasonics Sonochemistry
Verified
Journal Article
Open access
KZKuan Zhang
Kuan Zhang
GGGuofu Gao
Guofu Gao
CZChongyang Zhao
Chongyang Zhao
YWYi Wang
Yi Wang
YWYan Wang
Yan Wang
JLJianfeng Li
Jianfeng Li
The power ultrasonic generator (PUG) is the core device of power ultrasonic technology (PUT), and its performance determines the application of this technology in biomedicine, semiconductor, aerospace, and other fields. With the high demand for sensitive and accurate dynamic response in power ultrasonic applications, the design of PUG has become a hot topic in academic and industry. However, the previous reviews cannot be used as a universal technical manual for industrial applications. There are many technical difficulties in establishing a mature production system, which hinder the large-scale application of PUG for piezoelectric transducers. To enhance the performance of the dynamic matching and power control of PUG, the studies in various PUT applications have been reviewed in this article. Initially, the demand design covering the piezoelectric transducer application and parameter requirements for ultrasonic and electrical signals is overall summarized, and these parameter requirements have been recommended as the technical indicators of developing the new PUG. Then the factors affecting the power conversion circuit design are analyzed systematically to realize the foundational performance improvement of PUG. Furthermore, advantages and limitations of key control technologies have been summarized to provide some different ideas on how to realize automatic resonance tracking and adaptive power adjustment, and to optimize the power control and dynamic matching control. Finally, several research directions of PUG in the future have been prospected.

17 June 2019 in Materials
Verified
Journal Article
Open access
PDF file
YNYing Niu
Ying Niu
FJFeng Jiao
Feng Jiao
BZBo Zhao
Bo Zhao
GGGuofu Gao
Guofu Gao
In this study, we propose a longitudinal-torsion ultrasonic-assisted milling (LTUM) machining method for difficult-to-cut materials—such as titanium alloy—in order to realize anti-fatigue manufacturing. In addition, a theoretical prediction model of cutting force is established. To achieve this, we used the cutting edge trajectory of LTUM to reveal the difference in trajectory between LTUM and traditional milling (TM). Then, an undeformed chip thickness (UCT) model of LTUM was constructed. From this, the cutting force model was able to be established. A series of experiments were subsequently carried out to verify this LTUM cutting force model. Based on the established model, the influence of several parameters on cutting force was analyzed. The results showed that the established theoretical model of cutting force was in agreement with the experimental results, and that, compared to TM, the cutting force was lower in LTUM. Specifically, the cutting force in the feed direction, Fx, decreased by 24.8%, while the cutting force in the width of cut direction Fy, decreased by 29.9%.

23 June 2020 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
YNYing Niu
Ying Niu
FJFeng Jiao
Feng Jiao
ZBZhao Bo
Zhao Bo
GGGuofu Gao
Guofu Gao
NJNiu Jing-Jing
Niu Jing-Jing

23 August 2021 in International Journal of Precision Engineering and Manufacturing
Verified
Journal Article
Closed access
PDF file
ZSZhanli Shi
Zhanli Shi
DXDaohui Xiang
Daohui Xiang
HFHao-Ren Feng
Hao-Ren Feng
BWBang-Fu Wu
Bang-Fu Wu
ZZZhimeng Zhang
Zhimeng Zhang
BZBo Zhao
Bo Zhao

17 January 2021 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
GGGuofu Gao
Guofu Gao
ZYZhaojie Yuan
Zhaojie Yuan
ZXZiwen Xia
Ziwen Xia
ZFZongxia Fu
Zongxia Fu
DXDaohui Xiang
Daohui Xiang
BZBo Zhao
Bo Zhao

16 March 2023 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
Closed access
PDF file
ZXZiwen Xia
Ziwen Xia
GGGuofu Gao
Guofu Gao
YWYi Wang
Yi Wang
Menghua ZhangMenghua Zhang
Menghua Zhang
FJFangchao Jia
Fangchao Jia
SCShan Chenwei
Shan Chenwei