Zhenkun Zhang

ORCID: 0000-0003-2427-9846
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About
Contact & Profiles
Research Areas
  • Advanced machining processes and optimization
  • Industrial Vision Systems and Defect Detection
  • Advanced Machining and Optimization Techniques
  • Advanced Measurement and Metrology Techniques
  • Advanced Sensor and Control Systems
  • Advanced Surface Polishing Techniques
  • Heat Transfer and Optimization
  • Iterative Learning Control Systems
  • Currency Recognition and Detection

Guangxi University
2018-2020

10.1007/s00170-019-03906-9 article EN The International Journal of Advanced Manufacturing Technology 2019-06-14

Precise tool wear prediction is the key to improving productivity of entire workpiece. Reliable technology can reduce machine downtime caused by change process, and also make machining process more efficient. This paper briefly reviews research technology, then uses ARIMA (p, d, q) model in time series LSTM predict respectively. The results show that has better performance.

10.1145/3297730.3297732 article EN 2018-08-25

Micro‐end milling is in common use of machining micro‐ and mesoscale products superior to other micro‐machining processes the manufacture complex structures. Cutting force most direct factor reflecting processing state, change which related workpiece surface quality, tool wear machine vibration, so on, indicates that it important analyze predict cutting forces during process. In such problems, mechanistic models are frequently used for predicting studying effects various process variables....

10.1155/2019/7468698 article EN cc-by Mathematical Problems in Engineering 2019-01-01
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