Error Modeling and Sensitivity Analysis of a Five-Axis Machine Tool

Joint Authors

Gao, Weiguo
Chang, Wenfen
Nie, Yingxin
Tian, Wenjie

Source

Mathematical Problems in Engineering

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-05-28

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Civil Engineering

Abstract EN

Geometric error modeling and its sensitivity analysis are carried out in this paper, which is helpful for precision design of machine tools.

Screw theory and rigid body kinematics are used to establish the error model of an RRTTT-type five-axis machine tool, which enables the source errors affecting the compensable and uncompensable pose accuracy of the machine tool to be explicitly separated, thereby providing designers and/or field engineers with an informative guideline for the accuracy improvement by suitable measures, that is, component tolerancing in design, manufacturing, and assembly processes, and error compensation.

The sensitivity analysis method is proposed, and the sensitivities of compensable and uncompensable pose accuracies are analyzed.

The analysis results will be used for the precision design of the machine tool.

American Psychological Association (APA)

Tian, Wenjie& Gao, Weiguo& Chang, Wenfen& Nie, Yingxin. 2014. Error Modeling and Sensitivity Analysis of a Five-Axis Machine Tool. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-495311

Modern Language Association (MLA)

Tian, Wenjie…[et al.]. Error Modeling and Sensitivity Analysis of a Five-Axis Machine Tool. Mathematical Problems in Engineering No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-495311

American Medical Association (AMA)

Tian, Wenjie& Gao, Weiguo& Chang, Wenfen& Nie, Yingxin. Error Modeling and Sensitivity Analysis of a Five-Axis Machine Tool. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-495311

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-495311