Yufeng Li

ORCID: 0000-0003-4203-7189
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About
Contact & Profiles
Research Areas
  • Advanced Machining and Optimization Techniques
  • Advanced machining processes and optimization
  • Manufacturing Process and Optimization
  • Energy Efficiency and Management
  • Advanced Surface Polishing Techniques
  • Industrial Vision Systems and Defect Detection
  • Lubricants and Their Additives
  • Advanced Sensor and Control Systems
  • Iterative Learning Control Systems
  • Welding Techniques and Residual Stresses
  • Advanced Computational Techniques and Applications
  • Microstructure and Mechanical Properties of Steels
  • Hydraulic and Pneumatic Systems
  • Embedded Systems and FPGA Design
  • Metallurgy and Material Forming
  • Advanced Algorithms and Applications
  • IPv6, Mobility, Handover, Networks, Security
  • Advanced MIMO Systems Optimization
  • Power Systems and Technologies
  • Network Packet Processing and Optimization
  • Flexible and Reconfigurable Manufacturing Systems
  • Geoscience and Mining Technology
  • Industrial Technology and Control Systems
  • Environmental Impact and Sustainability
  • Sustainable Supply Chain Management

Ningbo University
2024-2025

Chongqing University
2015-2024

Queensland University of Technology
2024

China Southern Power Grid (China)
2024

Jiuquan Iron & Steel (China)
2024

China University of Petroleum, Beijing
2021-2024

Northwestern Polytechnical University
2024

Panzhihua University
2021-2023

China Academy of Engineering Physics
2023

Henan University of Economic and Law
2023

Tool condition monitoring (TCM) is vital to maintain the quality of workpieces during machining. Recently, data-driven methods based on multisensory data have been applied TCM. The extracted features a key realizing successful However, in previous study are focused multicollinearity data, which incapable identifying informative and discriminative information long time period aspect. This article proposed novel method for TCM using deep spatial-temporal feature extraction lightweight fusion...

10.1109/tie.2021.3102443 article EN IEEE Transactions on Industrial Electronics 2021-08-10

Energy consumption in machining manufacturing systems is increasingly of interest due to concern for global climate change and sustainability. To utilise energy more effectively, it paramount understand characterise the systems. this end, a framework analyse characteristics from holistic point view proposed paper. Taking into account complexity systems, flow described terms three layers including machine tool layer, task layer auxiliary production layer. Furthermore, modelled spatial...

10.1080/00207543.2013.813983 article EN International Journal of Production Research 2013-07-17

As an important branch of ancient Chinese silk dyeing and printing technology, alkali degumming utilizes agents to degum raw silk, creating differences in fiber water absorption, dye uptake, optical characteristics between degummed non-degummed areas achieve localized pattern formation.Based on the processes Silk Gauze using alkaline boiling, steaming, gel, this study compares effects these three techniques under different conditions agent dosage, hot press temperature, duration. The...

10.3390/jcs9040158 article EN Journal of Composites Science 2025-03-26

10.1007/s40684-022-00433-z article EN International Journal of Precision Engineering and Manufacturing-Green Technology 2022-05-23
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