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

Yong Jun Jiang

doi:10.4028/www.scientific.net/AMR.433-440.6616

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 433-440Statistical Tolerance Analysis Based on Constraint...

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

Abstract:

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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Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

6616-6621

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.433-440.6616

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Online since:

January 2012

Authors:

Yong Jun Jiang

Keywords:

Mechanism, Monte Carlo, QCSP, Tolerance Analysist

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