A method and system for quality control of a photovoltaic connector metal core forming process
By constructing a spatiotemporal correlation model of the process and fusing multi-source data, the problems of inaccurate springback prediction caused by heat accumulation during the metal core forming process of photovoltaic connectors and the contradiction of multi-functional partition dimensions were solved, achieving high-precision and stable production control and reducing the scrap rate.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- EVEREST TRANSMISSION SYST (PINGHU) CO LTD
- Filing Date
- 2026-06-15
- Publication Date
- 2026-07-17
AI Technical Summary
In the existing photovoltaic connector metal core molding process, local heat accumulation leads to inaccurate springback prediction, and the quality fluctuation caused by the contradiction of multi-functional partition size and the strong coupling of process parameters makes it difficult to maintain long-term stable production quality.
A spatiotemporal correlation model is constructed, and a size deviation tensor is generated by fusing multi-source heterogeneous data. The equivalent elastic-plastic state of the material is inverted, the target size deviation value of the next molding cycle is predicted, and it is decomposed into pressure, temperature and velocity compensation components. Combined with geometric boundary rule verification, adaptive adjustment is achieved.
It improves the forming precision and production stability of photovoltaic connector metal cores, reduces the scrap rate, and significantly enhances the accuracy of dimensional deviation prediction and long-term control stability.
Smart Images
Figure CN122401983A_ABST