Global Quantitative Sensitivity Analysis and Compensation of Geometric Errors of CNC Machine Tool

Joint Authors

Zhang, Dongsheng
Guo, Shijie
Xi, Yang

Source

Mathematical Problems in Engineering

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-04-26

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Civil Engineering

Abstract EN

A quantitative analysis to identify the key geometric error elements and their coupling is the prerequisite and foundation for improving the precision of machine tools.

The purpose of this paper is to identify key geometric error elements and compensate for geometric errors accordingly.

The geometric error model of three-axis machine tool is built on the basis of multibody system theory; and the quantitative global sensitivity analysis (GSA) model of geometric error elements is constructed by using extended Fourier amplitude sensitivity test method.

The crucial geometric errors are identified; and stochastic characteristics of geometric errors are taken into consideration in the formulation of building up the compensation strategy.

The validity of geometric error compensation based on sensitivity analysis is verified on a high-precision three-axis machine tool with open CNC system.

The experimental results show that the average compensation rates along the X , Y , and Z directions are 59.8%, 65.5%, and 73.5%, respectively.

The methods of sensitivity analysis and geometric errors compensation presented in this paper are suitable for identifying the key geometric errors and improving the precision of CNC machine tools effectively.

American Psychological Association (APA)

Guo, Shijie& Zhang, Dongsheng& Xi, Yang. 2016. Global Quantitative Sensitivity Analysis and Compensation of Geometric Errors of CNC Machine Tool. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1111937

Modern Language Association (MLA)

Guo, Shijie…[et al.]. Global Quantitative Sensitivity Analysis and Compensation of Geometric Errors of CNC Machine Tool. Mathematical Problems in Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1111937

American Medical Association (AMA)

Guo, Shijie& Zhang, Dongsheng& Xi, Yang. Global Quantitative Sensitivity Analysis and Compensation of Geometric Errors of CNC Machine Tool. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1111937

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1111937