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A high-adaptability nozzle-array printing system based on a set covering printing planning model for printed display
Yixin Wang1, Jiankui Chen2, Zhouping Yin1
1State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China.
Scientific Reports
|January 4, 2023
Summary
Inkjet printing for displays faces nozzle issues. This study introduces a system that detects and adapts to abnormal nozzles, enabling stable mass production of printed displays.
Area of Science:
- Materials Science
- Manufacturing Engineering
- Display Technology
Background:
- Inkjet printing is crucial for printed display mass production.
- Nozzle abnormalities like air bubbles and wettability changes hinder jet stability and printing accuracy.
- Existing systems lack adaptability to nozzle defects.
Purpose of the Study:
- To design a high-adaptability nozzle-array printing system for printed display manufacturing.
- To address challenges posed by abnormal nozzles in inkjet printing.
- To ensure stable and accurate mass production of printed displays.
Main Methods:
- Developed a printing system with multistep visual inspection and closed-loop feedback to detect abnormal nozzles.
- Established a set covering printing planning (SCPP) model for pixel printing using normal nozzles.
- The SCPP model optimizes printing paths and actions for adaptability.
Main Results:
- The system accurately identifies and screens nozzles with abnormal ejection characteristics.
- The SCPP model successfully generates efficient printing plans adaptable to various conditions.
- The proposed system demonstrates high adaptability and scalability for large-area displays.
Conclusions:
- The developed system effectively overcomes nozzle abnormalities in inkjet printing for displays.
- This technology enables robust and scalable mass production of printed display devices.
- The SCPP model provides a flexible solution for adaptive printing planning.
