Cijun Yu
Zhejiang University
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Publication
Featured researches published by Cijun Yu.
Sensors | 2015
Zhangjun Jin; Cijun Yu; Jiangxiong Li; Yinglin Ke
In aircraft assembly, multiple laser trackers are used simultaneously to measure large-scale aircraft components. To combine the independent measurements, the transformation matrices between the laser trackers’ coordinate systems and the assembly coordinate system are calculated, by measuring the enhanced referring system (ERS) points. This article aims to understand the influence of the configuration of the ERS points that affect the transformation matrix errors, and then optimize the deployment of the ERS points to reduce the transformation matrix errors. To optimize the deployment of the ERS points, an explicit model is derived to estimate the transformation matrix errors. The estimation model is verified by the experiment implemented in the factory floor. Based on the proposed model, a group of sensitivity coefficients are derived to evaluate the quality of the configuration of the ERS points, and then several typical configurations of the ERS points are analyzed in detail with the sensitivity coefficients. Finally general guidance is established to instruct the deployment of the ERS points in the aspects of the layout, the volume size and the number of the ERS points, as well as the position and orientation of the assembly coordinate system.
Industrial Robot-an International Journal | 2014
Zhangjun Jin; Cijun Yu; Jiangxiong Li; Yinglin Ke
Purpose – The purpose of this paper is to propose a robot-assisted assembly system (RAAS) for the installation of a variety of small components in the aircraft assembly system. The RAAS is designed to improve the assembly accuracy and increase the productive efficiency. Design/methodology/approach – The RAAS is a closed-loop feedback system, which is integrated with a laser tracking system and an industrial robot system. The laser tracking system is used to evaluate the deviations of the position and orientation of the small component and the industrial robot system is used to locate and re-align the small component according to the deviations. Findings – The RAAS has exhibited considerable accuracy improvement and acceptable assembly efficiency in aircraft assembly project. With the RAAS, the maximum position deviation of the component is reduced to 0.069 mm and the maximum orientation deviation is reduced to 0.013°. Social implications – The RAAS is applied successfully in one of the aircraft final asse...
Archive | 2011
Yinglin Ke; Danqing He; Liang Chen; Qing Wang; Jiangxiong Li; Yunbo Bi; Cijun Yu; Peng Huang; Zhangjun Jin
Archive | 2009
Yinglin Ke; Weidong Yang; Jiangxiong Li; Jinhai Yu; Qiang Fang; Yunbo Bi; Cijun Yu; Junxia Jiang; Longgang Qin; Shushi Jia; Zhimin Guo; Bin Zhang
Archive | 2011
Yinglin Ke; Kun Xie; Weiwai Qu; Huiyue Dong; Yingjie Guo; Cijun Yu
Archive | 2009
Yinglin Ke; Weidong Yang; Qing Wang; Jiangxiong Li; Qiang Fang; Junxia Jiang; Longgang Qin; Yunbo Bi; Shushi Jia; Peng Huang; Cijun Yu; Jinhai Yu; Zhimin Guo; Xueliang Chen; Pujin Huang; Yuchun Gai; Gang Liu
Journal of Magnetism and Magnetic Materials | 2012
Yong Jun Wu; Cijun Yu; Xiang Ming Chen; Juan Li
Archive | 2011
Yinglin Ke; Kun Xie; Huiyue Dong; Weiwai Qu; Yingjie Guo; Cijun Yu; Jiangxiong Li
Archive | 2009
Shushi Jia; Yinglin Ke; Yunbo Bi; Jinhai Yu; Longgang Qin; Jiangxiong Li; Junxia Jiang; Zhimin Guo; Qiang Fang; Bin Zhang; Weidong Yang; Cijun Yu
Archive | 2009
Yinglin Ke; Weidong Yang; Junxia Jiang; Longgang Qin; Shushi Jia; Zhimin Guo; Xueliang Chen; Pujin Huang; Yuchun Gai; Qiang Fang; Jinhai Yu; Gang Liu; Jiangxiong Li; Cijun Yu; Yunbo Bi; Qing Wang