Statistical Tolerance Analysis Based On Constraint Satisfaction Problems and Monte Carlo Simulation

被引：0
|
作者：
Jiang, Yong-Jun [1 ]
机构：
[1] Inner MongliaUniv Sci & Technol, Fac Mech Engn, Baotou, Peoples R China
来源：
MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷
关键词：
Tolerance analysist; mechanism; QCSP; Monte Carlo;
D O I：
10.4028/www.scientific.net/AMR.433-440.6616
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper deals with the mathematical formulation of tolerance analysis. The mathematical formulation presented simulates the influences of geometrical deviations on the geometrical behavior of the mechanism, and integrates the quantifier notion. We propose a mathematical formulation of tolerance analysis which simulates the influences of geometrical deviations on the geometrical behavior of the mechanism, and integrates the quantifier notion. To compute this mathematical formulation, two approaches based on Quantified Constraint Satisfaction Problem solvers and Monte Carlo simulation are proposed and tested.
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页码：6616 / 6621
页数：6
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