一种隔热玻璃镀膜参数粒子群优化设计方法
By using the particle swarm optimization design method for heat-insulating glass coating parameters, the problem of relying on manual experience and single-dimensional optimization in existing technologies has been solved. This method achieves global collaborative optimization and stability improvement of coating process parameters, thereby improving production efficiency and product performance consistency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA WEST NORMAL UNIVERSITY
- Filing Date
- 2026-03-17
- Publication Date
- 2026-07-17
AI Technical Summary
The design of existing heat-insulating glass coating process parameters relies on manual experience and lacks standardized data support, making it difficult to achieve global collaborative optimization of multiple process parameters. This results in low production efficiency, unstable product performance, and existing optimization methods cannot quickly output a combination of process parameters with good adaptability.
The particle swarm optimization design method for heat-insulating glass coating parameters is adopted. Through the construction of a standardized database of all elements, iterative optimization of particle swarm algorithm, and simulation verification and correction, a multi-objective optimization system is constructed to realize the global optimization and verification of coating process parameters and output a feasible combination of process parameters.
It improves the standardization of coating process parameter design, takes into account the synergistic optimization of film performance, production efficiency and energy consumption, improves the stability and efficiency of coating production, and shortens the process debugging cycle.
Smart Images
Figure CN121859754B_ABST