State space modeling of multi-scale variation propagation in machining process using matrix model

Author(s):  
Kun Wang ◽  
Yaxiang Yin ◽  
Shichang Du ◽  
Lifeng Xi ◽  
Tangbin Xia
1999 ◽  
Vol 121 (4) ◽  
pp. 756-762 ◽  
Author(s):  
Jionghua Jin ◽  
Jianjun Shi

In this paper, a state space modeling approach is developed for the dimensional control of sheet metal assembly processes. In this study, a 3-2-1 scheme is assumed for the sheet metal assembly. Several key concepts, such as tooling locating error, part accumulative error, and re-orientation error, are defined. The inherent relationships among these error components are developed. Those relationships finally lead to a state space model which describes the variation propagation throughout the assembly process. An observation equation is also developed to represent the relationship between the observation vector (the in-line OCMM measurement information) and the state vector (the part accumulative error). Potential usage of the developed model is discussed in the paper.


Author(s):  
Leonardo B Farconi ◽  
Ecyo Farias ◽  
Jose Montandon ◽  
Pedro Rogerio de P Guimaraes ◽  
Nuno B Barcellos ◽  
...  

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