Zhixiang Cheng

ORCID: 0000-0001-5262-6994
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About
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Research Areas
  • Advanced Battery Technologies Research
  • Thermography and Photoacoustic Techniques
  • Advanced Battery Materials and Technologies
  • Welding Techniques and Residual Stresses
  • Advancements in Battery Materials
  • Non-Destructive Testing Techniques
  • Ultrasonics and Acoustic Wave Propagation
  • Pharmaceutical and Antibiotic Environmental Impacts
  • Analytical chemistry methods development
  • Optical measurement and interference techniques

University of Science and Technology of China
2023-2024

Xi'an Jiaotong University
2022-2024

The First Affiliated Hospital, Sun Yat-sen University
2023

Zhongshan Hospital
2023

Fudan University
2023

Sun Yat-sen University
2023

This paper aims to propose a multicriteria decision analysis (MCDA) method evaluate and select solvent in dispersive liquid-liquid microextraction (DLLME) approach. The DLLME is applied the determination of itraconazole hydroxy plasma by high performance liquid chromatography with fluorescence detection (HPLC-FLD). To achieve this goal, extraction efficiency, chromatographic resolution, greenness were identified as three indicators MCDA. Then, Technique for Order Preference Similarity Ideal...

10.1016/j.arabjc.2023.104565 article EN cc-by-nc-nd Arabian Journal of Chemistry 2023-01-13

The time-of-flight diffraction (TOFD) technology is widely used in weld defect inspection and the utilisation of TOFD images automatic recognition attracting interest from enterprises. However, extant artificial intelligence (AI)-based object detection methods have limitations: they use only a single image, ability to extract features weak are easily affected by interference fringes. These limitations result high miss false rates. In this study, method based on multi-image feature fusion...

10.1784/insi.2024.66.10.596 article EN Insight - Non-Destructive Testing and Condition Monitoring 2024-10-01

When using ultrasonic time-of-flight diffraction (TOFD) to detect defects in titanium alloy welds, due the coarse grains, anisotropy of alloys and complex composition TOFD images have large noise small differences between defect region backgrounds region. At same time, existing preprocessing methods cannot balance contradiction removal feature retention, which seriously affects accuracy effectiveness recognition. In order overcome above problems, an anisotropic diffusion model (P-M) based on...

10.1109/iaeac54830.2022.9929459 article EN 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) 2022-10-03
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