Deformation prediction method and system for injection molding gear of automobile windscreen wiper
By constructing deformation prediction models and optimization models, combining deep neural networks and three-dimensional scanning technology, the problem of low deformation prediction accuracy of injection molded gears in the existing technology is solved, and more accurate deformation prediction and longer service life are achieved.
Patent Information
- Application Number
- CN202510180774.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-19
- Publication Date
- 2025-03-21
- Estimated Expiration
- 2045-02-19
AI Technical Summary
The prior art is difficult to accurately predict the deformation of the injection molded gear of the automotive wiper under complex environmental conditions, especially under dynamic changes such as temperature fluctuations, humidity changes, and load instability, and it is difficult to accurately reflect nonlinear timely change characteristics.
By obtaining the working environment data of the injection molded gear of the automotive wiper wiper, the first deformation prediction model and deformation prediction optimization model are built, and combined with deep neural network and historical working environment data, the deformation of the gear is simulated, analyzed and optimized. At the same time, high-precision three-dimensional scanning technology and image processing algorithms are used to extract the deformation characteristics of the gear, and deformation prediction results are generated through multi-dimensional data fusion.
It significantly improves the accuracy and reliability of deformation prediction of injection molded gears, can more accurately reflect the deformation characteristics of gears under complex working conditions, extends the service life of gears and improves maintenance efficiency.