Development of a New Model for the Fixture Design and Clamping Optimization

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 机器人应用与理论组

	Development of a New Model for the Fixture Design and Clamping Optimization
	E. H. Cao; J.H. Su; Z.Y Liu; H. Qiao
	2014
会议名称	World Congress on Intelligent Control and Automation
会议日期	2014
会议地点	China
关键词	Fixture Design
通讯作者	苏建华
英文摘要	Workpiece deformation must be controlled in the manufacturing process and other engineering application. Fixture configuration (position), clamping force and temperature are main aspects that influence the degree and distribution of Workpiece deformation. This paper takes large optical glass as an example, develop a new multiple kernel learning method to discuss the optimal fixture design. The proposed method uses two layers regressions to group and order the data sources by the weights of the kernels and the factors of the layers. Since that, the influences of the clamps and the temperature can be evaluated by grouping them into different layers. Then, based on the proposed model, the optimal magnitude and positions of clamping forces can be obtained. The experiments show is effective for the optical element clamping optimization analysis.
会议录	World Congress on Intelligent Control and Automation
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/12459]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组
作者单位	Institute of Automation, Chinese Academy of Sciences
推荐引用方式 GB/T 7714	E. H. Cao,J.H. Su,Z.Y Liu,et al. Development of a New Model for the Fixture Design and Clamping Optimization[C]. 见:World Congress on Intelligent Control and Automation. China. 2014.