Kinematic self-calibration of non-contact five-axis measuring machine using improved genetic algorithm.

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Kinematic self-calibration of non-contact five-axis measuring machine using improved genetic algorithm. / Zhigen, Fei; Xiaojie, Xu; Yanqiu, Xiao et al.
In: Measurement Science and Technology, Vol. 27, No. 2, 025903, 02.2016.

Research output: Journal contributionsJournal articlesResearchpeer-review

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@article{3aaa0ff4246748c7a267f901e5b4cf00,
title = "Kinematic self-calibration of non-contact five-axis measuring machine using improved genetic algorithm.",
abstract = "A novel non-contact, five-axis measuring machine with high measurement accuracy of workpiece dimensions is introduced in this paper. The kinematic model, as well as the kinematic error model, is developed. A self-calibration method using a steel ball is proposed to improve the measurement accuracy in the workspace. The calibration process is low-budget and easy-to-operate due to the fact there is no need to rely on other instruments or devices except for the laser probe carried by the measuring machine itself. The objective function is defined in terms of center-to-center distance deviation, namely the theoretical ball center and tested ball center, and to improve the speed of the convergence rate and to increase the optimization accuracy of the genetic algorithm. The simulation and practical experiments both illustrate the feasibility and validity of the proposed kinematic model and self-calibration method. Finally, the actual measurement results of a φ 12 sphere illustrate that the measurement accuracy of this machine has improved greatly by using calibrated parameters against nominal parameters.",
keywords = "Engineering, improved genetic algorithm, kinematic self-calibration, five-axis measuring machine",
author = "Fei Zhigen and Xu Xiaojie and Xiao Yanqiu and Nicolas Meier and Anthimos Georgiadis",
year = "2016",
month = feb,
doi = "10.1088/0957-0233/27/2/025903",
language = "English",
volume = "27",
journal = " Measurement Science and Technology",
issn = "1361-6501",
publisher = "IOP Publishing Ltd",
number = "2",

}

RIS

TY - JOUR

T1 - Kinematic self-calibration of non-contact five-axis measuring machine using improved genetic algorithm.

AU - Zhigen, Fei

AU - Xiaojie, Xu

AU - Yanqiu, Xiao

AU - Meier, Nicolas

AU - Georgiadis, Anthimos

PY - 2016/2

Y1 - 2016/2

N2 - A novel non-contact, five-axis measuring machine with high measurement accuracy of workpiece dimensions is introduced in this paper. The kinematic model, as well as the kinematic error model, is developed. A self-calibration method using a steel ball is proposed to improve the measurement accuracy in the workspace. The calibration process is low-budget and easy-to-operate due to the fact there is no need to rely on other instruments or devices except for the laser probe carried by the measuring machine itself. The objective function is defined in terms of center-to-center distance deviation, namely the theoretical ball center and tested ball center, and to improve the speed of the convergence rate and to increase the optimization accuracy of the genetic algorithm. The simulation and practical experiments both illustrate the feasibility and validity of the proposed kinematic model and self-calibration method. Finally, the actual measurement results of a φ 12 sphere illustrate that the measurement accuracy of this machine has improved greatly by using calibrated parameters against nominal parameters.

AB - A novel non-contact, five-axis measuring machine with high measurement accuracy of workpiece dimensions is introduced in this paper. The kinematic model, as well as the kinematic error model, is developed. A self-calibration method using a steel ball is proposed to improve the measurement accuracy in the workspace. The calibration process is low-budget and easy-to-operate due to the fact there is no need to rely on other instruments or devices except for the laser probe carried by the measuring machine itself. The objective function is defined in terms of center-to-center distance deviation, namely the theoretical ball center and tested ball center, and to improve the speed of the convergence rate and to increase the optimization accuracy of the genetic algorithm. The simulation and practical experiments both illustrate the feasibility and validity of the proposed kinematic model and self-calibration method. Finally, the actual measurement results of a φ 12 sphere illustrate that the measurement accuracy of this machine has improved greatly by using calibrated parameters against nominal parameters.

KW - Engineering

KW - improved genetic algorithm

KW - kinematic self-calibration

KW - five-axis measuring machine

UR - http://www.scopus.com/inward/record.url?scp=84955496654&partnerID=8YFLogxK

U2 - 10.1088/0957-0233/27/2/025903

DO - 10.1088/0957-0233/27/2/025903

M3 - Journal articles

VL - 27

JO - Measurement Science and Technology

JF - Measurement Science and Technology

SN - 1361-6501

IS - 2

M1 - 025903

ER -