Zhijun Yang, Youdun Bai, Xin Chen, Y. Guan, Wenxian Feng
{"title":"The residual vibration impact on the multiple target positioning time for array operation","authors":"Zhijun Yang, Youdun Bai, Xin Chen, Y. Guan, Wenxian Feng","doi":"10.1109/ICINFA.2016.7831796","DOIUrl":null,"url":null,"abstract":"Array processing, such as micro structure punching, wire bonding of LED array or integrated circuit, laser drilling, is widely used in electronic/optics manufacturing. In the processing, high speed positioning can cause strong excitation on the machine structure, which results in severe structure vibration and long settling time. Especially in multiple target positioning process, vibration exists in the whole procedure, so that the positioning means that the vibration amplitude is smaller than a given accuracy instead of completely still. According to vibration theory, new excitation will enhance or weaken the residual vibration with different phase, therefore, it is important to know what the impact of residual vibration on the continuous positioning. In this paper, the dynamic response of multiple target positioning is analyzed with flexible multibody dynamics. The optimal design of motion profile for a single positioning is performed and the positioning time is reduced by 10%. The impact of residual vibration is studied by choosing different start time, and the positioning time under corresponding residual vibration (amplitude and phase) is calculated. It is found that when the residual vibration is negative to the motion direction, the positing time is decreased, and vice versa. It is also found that the positioning time saving is much greater than the start time delay at the first few cycles. Up to 10% throughput can be improved by choosing a suitable start time for array processing. Analytic and experimental results match well. Our finding is important for improving the throughput of massive production of arrays processing in information technology.","PeriodicalId":389619,"journal":{"name":"2016 IEEE International Conference on Information and Automation (ICIA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Information and Automation (ICIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICINFA.2016.7831796","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Array processing, such as micro structure punching, wire bonding of LED array or integrated circuit, laser drilling, is widely used in electronic/optics manufacturing. In the processing, high speed positioning can cause strong excitation on the machine structure, which results in severe structure vibration and long settling time. Especially in multiple target positioning process, vibration exists in the whole procedure, so that the positioning means that the vibration amplitude is smaller than a given accuracy instead of completely still. According to vibration theory, new excitation will enhance or weaken the residual vibration with different phase, therefore, it is important to know what the impact of residual vibration on the continuous positioning. In this paper, the dynamic response of multiple target positioning is analyzed with flexible multibody dynamics. The optimal design of motion profile for a single positioning is performed and the positioning time is reduced by 10%. The impact of residual vibration is studied by choosing different start time, and the positioning time under corresponding residual vibration (amplitude and phase) is calculated. It is found that when the residual vibration is negative to the motion direction, the positing time is decreased, and vice versa. It is also found that the positioning time saving is much greater than the start time delay at the first few cycles. Up to 10% throughput can be improved by choosing a suitable start time for array processing. Analytic and experimental results match well. Our finding is important for improving the throughput of massive production of arrays processing in information technology.