Ming Li

Prof. Dr. Ming Li

Anhui Polytechnic University, Wuhu, Anhui, China

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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23 September 2021 in Wood Science and Technology
Verified
Journal Article
Closed access
PDF file
MLMing Li
Ming Li
MWMinghua Wang
Minghua Wang
RDRui Ding
Rui Ding
TDTingting Deng
Tingting Deng
SFsaiyin fang
saiyin fang
RLRuihan Luoi
Ruihan Luoi

5 January 2018 in Journal of Wood Science
Verified
Journal Article
Closed access
PDF file
YLYang Li
Yang Li
SYShuai-Shuai Yu
Shuai-Shuai Yu
LDLi Dai
Li Dai
TLTing-Fang Luo
Ting-Fang Luo
MLMing Li
Ming Li

5 August 2023 in Construction and Building Materials
Verified
Journal Article
Closed access
NXNing Xu
Ning Xu
MLMing Li
Ming Li
SFSaiyin Fang
Saiyin Fang
CHChanglin Huang
Changlin Huang
CCChumin Chen
Chumin Chen
YWYuan Wang
Yuan Wang

30 October 2024 in Measurement
Verified
Journal Article
Closed access
SDShishang Dong
Shishang Dong
JYJun You
Jun You
MEMohamed El-Attaouy
Mohamed El-Attaouy
MLMing Li
Ming Li
LGLi Guo
Li Guo
YWYong Wang
Yong Wang

27 November 2019 in European Journal of Wood and Wood Products
Verified
Journal Article
Closed access
PDF file
XLXinci Li
Xinci Li
SJShuang Ju
Shuang Ju
TLTingfang Luo
Tingfang Luo
MLMing Li
Ming Li

11 August 2022 in Sensors
Verified
Journal Article
Open access
PDF file
FMFeilong Mao
Feilong Mao
SFSaiyin Fang
Saiyin Fang
MLMing Li
Ming Li
CHChanglin Huang
Changlin Huang
TDTingting Deng
Tingting Deng
GQGezhou Qin
Gezhou Qin
To study the effect of frequency on the attenuation characteristics of acoustic emission signals in wood, in this paper, two types of hard wood and soft wood were studied separately, and the energy attenuation model of the propagation process of AE sources with different frequencies was established. First, using the piezoelectric inverse effect of the AE sensor, an arbitrary waveform generator was used to generate frequency-tunable pulses in the range of 1 kHz to 150 kHz as the AE source, where the AE source energy could be regulated by the output voltage level. Then, five AE sensors were placed at equal intervals of 100 mm on the surface of the specimen to collect AE signals, and the sampling frequency was set to 500 kHz. Finally, the energy value of AE signal of each sensor was calculated based on the AC principle, and the energy attenuation model was established by exponential fitting. The results showed that both the amplitude and energy of the AE signals of different frequencies showed negative exponential decay with the increase of propagation distance, and, at the same frequency, the change of AE source energy level had no significant effect on its attenuation rate. Compared with hard wood, the energy attenuation of the AE signal of soft wood was more sensitive to the change of frequency, and, at the same frequency, the attenuation rate of soft wood was smaller than that of hard wood.