An Approach for the Evaluation of Sphericity Error and Its Uncertainty

Joint Authors

Zhao, Man
Mao, Jian

Source

Advances in Mechanical Engineering

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-01-14

Country of Publication

Egypt

No. of Pages

5

Main Subjects

Mechanical Engineering

Abstract EN

The verification uncertainty theory in new generation geometrical product specification (GPS) has been applied in the whole process of geometrical product specification and verification.

According to the uncertainty theory, a novel method for the uncertainty evaluation of sphericity errors was proposed.

The association operator in new generation GPS was applied.

The mathematical model of the sphericity error and the optimal objective function were developed under the condition of minimum zone.

Particle swarm optimization (PSO) algorithm was used to search for the optimal solution of sphericity error.

The coefficients of the correlation element and propagation of uncertainty were calculated so that the sphericity error and the uncertainty of the result can be obtained.

The evaluation results are accurate and consistent with requirements of a new generation GPS standard.

It also indicates that this method can improve the integrity and veracity of verification.

American Psychological Association (APA)

Mao, Jian& Zhao, Man. 2013. An Approach for the Evaluation of Sphericity Error and Its Uncertainty. Advances in Mechanical Engineering،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-454665

Modern Language Association (MLA)

Mao, Jian& Zhao, Man. An Approach for the Evaluation of Sphericity Error and Its Uncertainty. Advances in Mechanical Engineering No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-454665

American Medical Association (AMA)

Mao, Jian& Zhao, Man. An Approach for the Evaluation of Sphericity Error and Its Uncertainty. Advances in Mechanical Engineering. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-454665

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-454665