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大面积OLED基板打印路径规划方法基于多头GAT仿真学习来解决分区整数编程
Jiacong Xiong1, Jiankui Chen2,3, Yiqun Li1
1The State Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.
Scientific reports
|July 2, 2025
概括
对于有机发光二极管 (OLED) 基板的喷墨印刷面临着分辨率挑战. 一个新的算法,GIP-LASP,优化打印头路径的大面积制造,提高效率和生产力.
科学领域:
- 材料科学 材料科学 材料科学
- 制造业 工程 制造工程
- 计算科学 计算科学
背景情况:
- 喷墨打印在有机发光二极管 (OLED) 基板制造中比蒸汽沉积具有优势,包括工艺简单性和高材料利用率.
- 对于OLED喷墨打印来说,一个关键的挑战是打印头分辨率 (NPI) 和基板像素分辨率 (PPI) 之间的不匹配,使制造过程复杂化.
- 大面积的OLED生产加剧了这些问题,因为放大了角度对齐错误,导致了具有指数复杂性的NP硬规划问题.
研究的目的:
- 开发一种高效的算法,以优化喷墨打印头在大型OLED基板制造中的行程.
- 解决印刷头-基板分辨率不匹配和基板不对齐所带来的多目标优化挑战.
- 为了提高喷墨印刷工艺的生产率和可扩展性,用于先进的显示技术.
主要方法:
- 开发了一种新的算法,即图形注意网络和整数编程用于大面积基板打印 (GIP-LASP).
- GIP-LASP包含分区规则和平行建模,用于基板 misalignment 角度.
- 使用基于与SCIP解决器集成的多头图表注意力网络的模拟学习.
主要成果:
- 在G4.5半尺寸基板上成功实现了GIP-LASP算法,分辨率为394 PPI.
- 该方法使色彩过器 (CF) 层的成功打印成为可能,证明了其实际应用.
- 该算法有效地解决了大面积基板打印计划的复杂性.
结论:
- 开发的GIP-LASP算法为大面积OLED制造中的喷墨打印路径规划的NP难题提供了有效的解决方案.
- 这种方法通过优化打印周期,显著提高了OLED基板生产的效率和生产率.
- 成功打印CF层验证了算法在现实世界制造场景中的能力.
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