CLC number: TH161
On-line Access: 2015-05-04
Received: 2014-07-25
Revision Accepted: 2014-10-19
Crosschecked: 2015-04-13
Cited: 0
Clicked: 5140
Antoine Dumas, Jean-Yves Dantan, Nicolas Gayton, Thomas Bles, Robin Loebl. An iterative statistical tolerance analysis procedure to deal with linearized behavior models[J]. Journal of Zhejiang University Science A, 2015, 16(5): 353-360.
@article{title="An iterative statistical tolerance analysis procedure to deal with linearized behavior models",
author="Antoine Dumas, Jean-Yves Dantan, Nicolas Gayton, Thomas Bles, Robin Loebl",
journal="Journal of Zhejiang University Science A",
volume="16",
number="5",
pages="353-360",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A1400221"
}
%0 Journal Article
%T An iterative statistical tolerance analysis procedure to deal with linearized behavior models
%A Antoine Dumas
%A Jean-Yves Dantan
%A Nicolas Gayton
%A Thomas Bles
%A Robin Loebl
%J Journal of Zhejiang University SCIENCE A
%V 16
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%@ 1673-565X
%D 2015
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A1400221
TY - JOUR
T1 - An iterative statistical tolerance analysis procedure to deal with linearized behavior models
A1 - Antoine Dumas
A1 - Jean-Yves Dantan
A1 - Nicolas Gayton
A1 - Thomas Bles
A1 - Robin Loebl
J0 - Journal of Zhejiang University Science A
VL - 16
IS - 5
SP - 353
EP - 360
%@ 1673-565X
Y1 - 2015
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A1400221
Abstract: tolerance analysis consists of analyzing the impact of variations on the mechanism behavior due to the manufacturing process. The goal is to predict its quality level at the design stage. The technique involves computing probabilities of failure of the mechanism in a mass production process. The various analysis methods have to consider the component’s variations as random variables and the worst configuration of gaps for over-constrained systems. This consideration varies in function by the type of mechanism behavior and is realized by an optimization scheme combined with a monte Carlo simulation. To simplify the optimization step, it is necessary to linearize the mechanism behavior into several parts. This study aims at analyzing the impact of the linearization strategy on the probability of failure estimation; a highly over-constrained mechanism with two pins and five cotters is used as an illustration for this study. The purpose is to strike a balance among model error caused by the linearization, computing time, and result accuracy. In addition, an iterative procedure is proposed for the assembly requirement to provide accurate results without using the entire monte Carlo simulation.
This paper proposed a feasible linearization method for hyperstatic mechanism. An iterative procedure is also proposed for the assembly requirement to balance the factors of linearization, computing time and result accuracy. The theoretical method and application of this method on the electrical connector is convincing.
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