Automatic balance detection method for resin grinding wheel
Static balance detection is carried out through 3D laser scanning technology and membership weighted averaging method, and combined with AdaBoost model and adaptive threshold adjustment technology, high-precision balance detection before and after the use of resin grinding wheels is achieved, solving the problem of inability to effectively evaluate small imbalances and adaptability in the existing technology, and improving the accuracy and adaptability of the detection.
Patent Information
- Application Number
- CN202510161112.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-13
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2045-02-13
AI Technical Summary
The existing resin grinding wheel balance detection methods cannot effectively evaluate the slight imbalance of the grinding wheel before use, and fail to comprehensively consider the balance of the grinding wheel in different environments after use, and the dynamic balance threshold is set to be fixed, making it difficult to adapt to different types and working conditions.
The radial symmetry data and thickness uniformity data of the resin grinding wheel were obtained by 3D laser scanning technology, and the static equilibrium index data was calculated through the membership weighted average method, and the static equilibrium threshold was set. For the grinding wheel after use, dynamic monitoring data, environmental data and resin hardness data are collected, dynamic balance indicators are predicted using the AdaBoost model, and dynamic balance thresholds are adjusted dynamically according to the environment and material hardness.
It realizes high-precision balanced detection before and after the use of resin grinding wheels, can effectively adapt to different environments and working conditions, improves the accuracy and adaptability of the detection, reduces manual intervention, and improves the detection efficiency and consistency.