Asymmetric gear worm grinding wheel gear grinding machining precision prediction method
By constructing the ISABO-IBiLSTM model, we analyzed the multi-source errors in the grinding of asymmetric gears and worm gears with grinding wheels. This solved the problem of insufficient prediction accuracy in traditional methods and achieved high-precision prediction of the tooth surfaces on both sides of the asymmetric gears, providing data support for process optimization.
Patent Information
- Application Number
- CN202510931654.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-07
- Publication Date
- 2025-10-31
AI Technical Summary
Existing technologies struggle to accurately predict the machining accuracy of asymmetric gear and worm gear grinding wheels. Traditional methods fail to effectively consider the essential differences between the tooth surfaces on both sides, resulting in predictions that cannot meet the demands of high-precision manufacturing.
A method for predicting the machining accuracy of asymmetric gear and worm gear grinding wheels based on the ISABO-IBiLSTM model is constructed. By analyzing the composition of multi-source errors and applying the improved SABO algorithm and BiLSTM model, the hyperparameters are optimized to achieve high-precision prediction.
The precise location of the coupling effect mechanism of multi-source errors enables high-precision prediction of the tooth surfaces on both sides of the asymmetric gear, providing a data foundation for subsequent process optimization.
Smart Images
Figure CN120874269A_ABST