An electromagnetic manipulator used for micro-assembly system

Author(s):  
Yuezong Wang ◽  
Wenjia Yin ◽  
Lika Wang ◽  
Yan Jin
2014 ◽  
Vol 496-500 ◽  
pp. 1468-1472
Author(s):  
Gao Yang Zhang ◽  
Xin Jin ◽  
Zhi Jing Zhang

A wide range of micro-components can today be produced using various micro-fabrication techniques. The efficient high volume assembly of complex micro-systems consisting of vast single components (i.e., hybrid micro-systems) is, however, a difficult task that is seen to be a real challenge for the robotic research community. It is necessary to conceive flexible, highly precise and fast micro-assembly methods. In this paper, a frame of a micro-assembly system in the form of flexible micro-assembly line and its autonomous control is presented. Implementation of the control system are described and the procedure of autonomous control is described as well.


Author(s):  
J. Cecil ◽  
N. Gobinath ◽  
J. P. Deshmukh ◽  
D. Vasquez

The physical assembly of micron-sized parts is referred to as micro assembly. This paper discusses the creation of a virtual prototyping environment to study and facilitate the assembly of micro devices. The preliminary environment has been implemented using VRML 2.0 on a windows platform. The physical micro assembly system which was used as the target system to model includes a micro gripper, a linear micro-positioner, an assembly platen, a 3 axis micro positioner, cameras and a fixture mounted for the gripper. A description of the various stages involved in the creation of the virtual reality based environment is also described in this paper.


2013 ◽  
Vol 333-335 ◽  
pp. 924-928
Author(s):  
Yong Rong Qiu ◽  
Yu He Li ◽  
Yan Xiang Chen ◽  
Kai Sen Guan ◽  
Rui Ling Duan

This paper introduces a micro-assembly system based on image processing and focuses on some key technologies. The system employed some orthogonal wavelet functions to filter images and the suitible filtering effects were obtained by Symlets wavelet basis. The auto-focusing method adopted in the micro-assembly system was the combination of coarse adjustment and fine adjustment. The resolution evaluation function for coarse adjustment was based on Krisch operator and the resolution evaluation function for fine one was based on high frequency component. Experimental results show that the focusing accuracy can reach ±4.0μm. A wavelet multiscale method based on variogram function was used in the edge detection, which can eliminate noise with more details retained. Generally the system can meet the requirements of micro-assembly.


2006 ◽  
Author(s):  
Junping Wang ◽  
Xiaodong Tao ◽  
Deokhwa Hong ◽  
Hyungsuck Cho

2008 ◽  
Vol 4 (1-2) ◽  
pp. 59-72 ◽  
Author(s):  
Cédric Clévy ◽  
Arnaud Hubert ◽  
Nicolas Chaillet

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