Fei Qi

Dr. Fei Qi

orcid

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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1 January 2020 in Journal of the Mechanical Behavior of Biomedical Materials
Verified
Journal Article
Closed access
JRJia Ren
Jia Ren
DZDong Zhao
Dong Zhao
FQFei Qi
Fei Qi
WLWeiwei Liu
Weiwei Liu
Yao ChenYao Chen
Yao Chen

9 June 2025 in Applied Thermal Engineering
Verified
Journal Article
Closed access
YSYupeng Sun
Yupeng Sun
HZHao Zhang
Hao Zhang
FQFei Qi
Fei Qi
YLYuan Li
Yuan Li
HGHao Guo
Hao Guo
YCYao Chen
Yao Chen

10 November 2018 in Journal of the American Ceramic Society
Verified
Journal Article
Open access
PDF file
FQFei Qi
Fei Qi
SMSonghe Meng
Songhe Meng
FSFan Song
Fan Song
HGHao Guo
Hao Guo
XXXianghong Xu
Xianghong Xu
YCYao Chen
Yao Chen
This work utilized a combination of experimental evidence and fractal geometric method to assess the effect of crack extension concerning the thermal shock on residual strength of ceramics. Sintered alumina (Al 2 O 3 ) ceramic slabs were bundled and quenched in water under different thermal shock temperatures. The fractal dimension of thermal shock crack patterns on the interior surface and the cooled surface was calculated by the Box‐counting method. Fracture energy of a fractal pattern of microcracks in quasi‐brittle solids was employed to explain the relationship between crack length and fractal dimensions. The results show that if the crack propagation has the same crack length but a larger fractal dimension, it will absorb more fracture energy. The thermal shock crack patterns of Al 2 O 3 ceramics with different grain sizes were analyzed, and the smaller grain size ceramic had a higher fractal dimension of crack patterns than the larger one.

24 January 2023 in Manufacturing Review
Verified
Journal Article
Open access
PDF file
KLKaijie Lu
Kaijie Lu
Chunju WangChunju Wang
Chunju Wang
CWChangrui Wang
Changrui Wang
XFXueliang Fan
Xueliang Fan
FQFei Qi
Fei Qi
HHHaidong He
Haidong He
The microchannel heat sink (MCHS) has the advantages of small heat transfer resistance, high heat transfer efficiency and small size, which exhibits good heat transfer performance in the field of active heat dissipation of electronic devices integrated with high heat flux density. In this paper, the application of MCHS in thermal management is reviewed in recent years, and the research progress of microchannel topology on enhancing heat transfer performance is summarized. Firstly, the research progress on the cross-sectional shape of the microchannel shows that the heat transfer area and fluid flow dead zone of the microchannel is the keys to affecting the heat transfer performance; Secondly, the microchannel distribution and the bionic microchannel structure have a great role in enhancing heat transfer performance, especially in microchannel temperature uniformity; Thirdly, the disturbing effect caused by interrupted structures in microchannels such as ribs and concave cavities has become a hot topic of research because it can weaken the thermal boundary layer and increase heat dissipation. Finally, the commonly used MCHS materials and cooling media are summarized and introduced. Based on the above reviews of MCHS research and applications, the future trends of MCHS topologies are presented.

20 October 2023 in Biomedical Signal Processing and Control
Verified
Journal Article
Closed access
KLKeyi Lu
Keyi Lu
HGHao Guo
Hao Guo
ZGZhihao Gu
Zhihao Gu
FQFei Qi
Fei Qi
SKShaolong Kuang
Shaolong Kuang
LSLining Sun
Lining Sun

6 January 2023 in IEEE Sensors Journal
Verified
Journal Article
Closed access
HGHao Guo
Hao Guo
PGPeihao Gong
Peihao Gong
YWYiming Wang
Yiming Wang
FQFei Qi
Fei Qi
CLChunguang Li
Chunguang Li
LSLining Sun
Lining Sun
Fatigue assessment is especially important in long-term physical work and training to avoid injury caused by muscle fatigue. The surface electromyography (sEMG) signal has been widely used to detect muscle fatigue states. The purpose of this paper is to establish muscle functional networks and provide a comprehensive assessment of muscle fatigue using multi-channel sEMG signals from the back muscles. A muscle functional network is constructed based on the Pearson correlation coefficients between the channels of sEMG signals, and we explore how the economic properties and small-world properties of the muscle network change with cost. Then, the network threshold is determined by changes in small-world properties. We extract network parameters through complex network methods to quantify and analyze the differences in muscle functional networks under different fatigue states. The most significant results of this novel approach indicate that the economic and small-world properties of the muscle network gradually decrease with increasing fatigue, and network parameters decrease significantly after fatigue. The method presented in this paper provides a new foundation for assessing muscle fatigue.