Yadong Zhao

Yadong Zhao


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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15 March 2023 in Eksploatacja i Niezawodność – Maintenance and Reliability
Verified
Journal Article
Open access
JXJiayu Xie
Jiayu Xie
ZTZongrui Tian
Zongrui Tian
Pengpeng ZhiPengpeng Zhi
Pengpeng Zhi
YZYadong Zhao
Yadong Zhao
The commonly used reliability analysis approaches for Kriging-based models are usually conducted based on high-fidelity Kriging models. However, high-fidelity surrogate models are commonly costly. Therefore, in order to balance the calculation expense and calculation time of the surrogate model,...

4 June 2024 in Applied Sciences
Verified
Journal Article
Open access
PDF file
JLJiehui Liu
Jiehui Liu
YZYunhan Zhang
Yunhan Zhang
JLJianshen Li
Jianshen Li
YZYadong Zhao
Yadong Zhao
JGJinxi Guo
Jinxi Guo
HZHaichao Zhao
Haichao Zhao
Air is the environmental foundation for human life and production, and its composition changes are closely related to human activities. Sulfur dioxide (SO2) is one of the main atmospheric pollutants, mainly derived from the combustion of fossil fuels. But SO2 is a trace gas in the atmosphere, and its concentration may be less than one part per billion (ppb). This paper is based on the principle of photoluminescence and uses a photomultiplier tube (PMT) as a photoelectric converter to develop a device for real-time detection of SO2 concentration in the atmosphere. This paper focuses on the impact of noise interference on weak electrical signals and uses wavelet transform to denoise the signals. At the same time, considering that the photoelectric system is susceptible to temperature changes, a multi parameter fitting model is constructed, and a BP neural network is used to further process the signal, separating the real data from the original data. Finally, a high-precision and wide-range trace level sulfur dioxide concentration detection device and algorithm were obtained.

1 April 2023 in Materials Science and Technology
Verified
Journal Article
Closed access
YZYadong Zhao
Yadong Zhao
YHYangyang He
Yangyang He
YLYaowen Lu
Yaowen Lu
HCHongbao Cui
Hongbao Cui
HHHan He
Han He
Friction stir welding (FSW) is a solid-phase bonding technique, which is suitable for bonding aluminium/magnesium dissimilar metals. In the present work, a nano-precipitated phase in 1060 Al/AZ31B Mg FSW joint was observed and analysed by transmission electron microscopy (TEM) and high-resolution electron microscopy (HRTEM). The type and morphology of the precipitated phase were determined. The results showed a nano-twinned precipitation phase, Al3Mg2, which was elliptical in shape and approximately 300 nm in size. In addition, the effective stacking fault energy (SFE) of nano-twinned Al3Mg2, approximately 3.51 mJ m−2, was calculated using the first principles and the effective SFE equation. A low effective SFE was beneficial to the crystal twinning of Al3Mg2.

25 December 2020 in Coatings
Verified
Journal Article
Open access
PDF file
YZYadong Zhao
Yadong Zhao
YLYalong Luo
Yalong Luo
HZHaixiao Zhang
Haixiao Zhang
XGXuefeng Guo
Xuefeng Guo
SWShuguang Wang
Shuguang Wang
YZYafang Zhai
Yafang Zhai
The spindle characteristic signal (forces and vibrations) at different friction stir lap welding (FSLW) parameters were studied. The result indicated that the spindle force and vibration have different trends with the change of welding parameters. For further study, the spindle dynamic performance evaluation model by means of the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS method) was established. The model was used to calculate the relative approach degree B under different welding process parameters. The correlation between the characteristic signal and the joint properties was obtained. The model was validated by mechanical performance testing and microscopic observation. The results showed that the model evaluations were consistent with the experimental results.