Method for passive detection of the internal state of a ladle lining
By analyzing the continuous wavelet curves and regression relationships of the ladle shell vibration curves, the problem of difficult detection of the ladle lining condition was solved, enabling passive detection and accurate internal condition assessment, and supporting maintenance decisions during the production process.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- WUHAN UNIV OF SCI & TECH
- Filing Date
- 2026-04-23
- Publication Date
- 2026-07-17
AI Technical Summary
During the steelmaking process, it is difficult to effectively detect the internal condition of the ladle lining without interrupting production or entering the ladle, especially due to the difficulties in observation and measurement caused by high temperature and top slag coverage.
By performing continuous wavelet analysis on the vibration curve of the ladle shell during argon blowing, wavelet coefficients are obtained, characteristic frequencies are calculated, and the elastic modulus of the ladle lining is obtained using a preset regression relationship. Combined with the elastic modulus changes of adjacent heats, the internal state of the lining is inferred.
It enables passive detection of the ladle lining condition without interfering with the production process, accurately identifies damage such as thermal shock cracks, decarburization embrittlement, and molten steel infiltration, provides objective basis for maintenance decisions, and has good resistance to process interference and robustness.
Smart Images
Figure CN122409831A_ABST