{"title":"基于显示器制造中喷嘴组合印刷的高灵活性多目标随机规划系统","authors":"Yixin Wang , Jiankui Chen , Xiao Yue , Wei Tang , Zhouping Yin","doi":"10.1016/j.jmsy.2024.08.018","DOIUrl":null,"url":null,"abstract":"<div><p>Inkjet printing is a new display manufacturing technology with high efficiency and low cost. Accurate control of the pixel ink volume uniformity is key to realizing large-scale printing display manufacturing. In the continuous printing process on multiple substrates, a major challenge in volume uniformity control is solving the problem of overall droplet volume variation of the printhead caused by uncertain factors such as the changes in printhead temperature, ink pressure and nozzle plate wettability. In this paper, a multi-objective stochastic planning system based on nozzle-combined printing for accurate control of the pixel ink volume uniformity under overall droplet volume variation is proposed, which can improve the flexibility and adaptability of the display printing system. Firstly, a nozzle-combined printing planning system based on a droplet volume uncertainty set and a rolling update strategy is proposed. The overall droplet volume variation is added to the printing planning system as an uncertainty set, and the set parameters are iteratively updated through multilayer closed-loop feedback during the printing process. Secondly, a new multi-objective printing stochastic planning model is established to realize comprehensive optimization of the pixel ink volume uniformity and printing efficiency. Finally, the proposed system was verified by pixel printing experiments on self-developed display printing equipment. The experimental results showed that the system could achieve a pixel film thickness uniformity of 1.54 % under droplet volume variation, which was 80 % lower than that obtained with the traditional method.</p></div>","PeriodicalId":16227,"journal":{"name":"Journal of Manufacturing Systems","volume":"76 ","pages":"Pages 627-643"},"PeriodicalIF":12.2000,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S027861252400181X/pdfft?md5=19e6d232c0272b510ad715538222e3e3&pid=1-s2.0-S027861252400181X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"A high-flexible multi-objective stochastic planning system based on nozzle-combined printing in display manufacturing\",\"authors\":\"Yixin Wang , Jiankui Chen , Xiao Yue , Wei Tang , Zhouping Yin\",\"doi\":\"10.1016/j.jmsy.2024.08.018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Inkjet printing is a new display manufacturing technology with high efficiency and low cost. Accurate control of the pixel ink volume uniformity is key to realizing large-scale printing display manufacturing. In the continuous printing process on multiple substrates, a major challenge in volume uniformity control is solving the problem of overall droplet volume variation of the printhead caused by uncertain factors such as the changes in printhead temperature, ink pressure and nozzle plate wettability. In this paper, a multi-objective stochastic planning system based on nozzle-combined printing for accurate control of the pixel ink volume uniformity under overall droplet volume variation is proposed, which can improve the flexibility and adaptability of the display printing system. Firstly, a nozzle-combined printing planning system based on a droplet volume uncertainty set and a rolling update strategy is proposed. The overall droplet volume variation is added to the printing planning system as an uncertainty set, and the set parameters are iteratively updated through multilayer closed-loop feedback during the printing process. Secondly, a new multi-objective printing stochastic planning model is established to realize comprehensive optimization of the pixel ink volume uniformity and printing efficiency. Finally, the proposed system was verified by pixel printing experiments on self-developed display printing equipment. The experimental results showed that the system could achieve a pixel film thickness uniformity of 1.54 % under droplet volume variation, which was 80 % lower than that obtained with the traditional method.</p></div>\",\"PeriodicalId\":16227,\"journal\":{\"name\":\"Journal of Manufacturing Systems\",\"volume\":\"76 \",\"pages\":\"Pages 627-643\"},\"PeriodicalIF\":12.2000,\"publicationDate\":\"2024-09-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S027861252400181X/pdfft?md5=19e6d232c0272b510ad715538222e3e3&pid=1-s2.0-S027861252400181X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Manufacturing Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S027861252400181X\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S027861252400181X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
A high-flexible multi-objective stochastic planning system based on nozzle-combined printing in display manufacturing
Inkjet printing is a new display manufacturing technology with high efficiency and low cost. Accurate control of the pixel ink volume uniformity is key to realizing large-scale printing display manufacturing. In the continuous printing process on multiple substrates, a major challenge in volume uniformity control is solving the problem of overall droplet volume variation of the printhead caused by uncertain factors such as the changes in printhead temperature, ink pressure and nozzle plate wettability. In this paper, a multi-objective stochastic planning system based on nozzle-combined printing for accurate control of the pixel ink volume uniformity under overall droplet volume variation is proposed, which can improve the flexibility and adaptability of the display printing system. Firstly, a nozzle-combined printing planning system based on a droplet volume uncertainty set and a rolling update strategy is proposed. The overall droplet volume variation is added to the printing planning system as an uncertainty set, and the set parameters are iteratively updated through multilayer closed-loop feedback during the printing process. Secondly, a new multi-objective printing stochastic planning model is established to realize comprehensive optimization of the pixel ink volume uniformity and printing efficiency. Finally, the proposed system was verified by pixel printing experiments on self-developed display printing equipment. The experimental results showed that the system could achieve a pixel film thickness uniformity of 1.54 % under droplet volume variation, which was 80 % lower than that obtained with the traditional method.
期刊介绍:
The Journal of Manufacturing Systems is dedicated to showcasing cutting-edge fundamental and applied research in manufacturing at the systems level. Encompassing products, equipment, people, information, control, and support functions, manufacturing systems play a pivotal role in the economical and competitive development, production, delivery, and total lifecycle of products, meeting market and societal needs.
With a commitment to publishing archival scholarly literature, the journal strives to advance the state of the art in manufacturing systems and foster innovation in crafting efficient, robust, and sustainable manufacturing systems. The focus extends from equipment-level considerations to the broader scope of the extended enterprise. The Journal welcomes research addressing challenges across various scales, including nano, micro, and macro-scale manufacturing, and spanning diverse sectors such as aerospace, automotive, energy, and medical device manufacturing.