A non-probabilistic uncertainty analysis method based on ellipsoid possibility model and its applications in multi-field coupling systems

2021 ◽  
Vol 385 ◽  
pp. 114051
Author(s):  
Qiming Liu ◽  
Yuxing Dai ◽  
Xingfu Wu ◽  
Xu Han ◽  
Heng Ouyang ◽  
...  
2017 ◽  
Vol 205 ◽  
pp. 1049-1055 ◽  
Author(s):  
Wei Tian ◽  
Xianhao Meng ◽  
Baoquan Yin ◽  
Yu Sun ◽  
Yunliang Liu ◽  
...  

2011 ◽  
Vol 25 (8) ◽  
pp. 2962-2975 ◽  
Author(s):  
Thomas E. Fricker ◽  
Jeremy E. Oakley ◽  
Neil D. Sims ◽  
Keith Worden

1995 ◽  
Vol 117 (1) ◽  
pp. 42-48 ◽  
Author(s):  
Y. Shen ◽  
N. A. Duffie

Accurate and consistent transformations between design and manufacturing coordinate systems are essential for high quality part production. Fixturing and coordinate measurement are common coordinate referencing techniques which are used to locate points or measurement points on workpiece reference surfaces to establish these coordinate transformations. However, uncertainty sources such as geometric form deviations in workpiece surfaces, tolerances on fixture locators, and errors in coordinate measurements exist. A result is that coordinate transformations established using the locating and measurement points are in herently uncertain. An uncertainty analysis method for coordinate referencing is presented in this paper. The uncertainty interval concept is used to describe essential characteristics of uncertainty sources in coordinate referencing and coordinate transformation relationships. The method is applied to estimating uncertainties in simple and compound coordinate transformation obtained using coordinate referencing in an experimental mold manufacturing system. Results of Monte Carlo simulations are used to show that the uncertainty analysis method gives a consistent and high percentage of coverage in evaluating coordinate referencing in the examples studied.


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