Accuracy enhancement of multi-axis CNC machines through on-line neurocompensation

This research is devoted to one of the most fundamental problems in precision engineering: machine tool accuracy. The paper presents a new approach designed to improve the accuracy of multi-axis CNC machines through software compensation of geometric, thermal and dynamic errors. Based on a multi-sen...

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Bibliographic Details
Published in:Journal of intelligent manufacturing 2000-12, Vol.11 (6), p.535
Main Authors: Abderrazak El Ouafi, GUILLOT, Michel, Bedrouni, Abdellah
Format: Article
Language:English
Subjects:
Accuracy
Compensation
Cutting tools
Kinematics
Machine tools
Manufacturing
Mathematical models
Monitoring systems
Neural networks
Sensors
Studies
Systems design
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Summary:This research is devoted to one of the most fundamental problems in precision engineering: machine tool accuracy. The paper presents a new approach designed to improve the accuracy of multi-axis CNC machines through software compensation of geometric, thermal and dynamic errors. Based on a multi-sensor monitoring system, the proposed compensation scheme is built to ensure error prediction. Four steps are required to develop and implement this system: (i) measurement of individual error components along each axis using a laser interferometer system, (ii) sensor integration via an artificial neural network model for on-line error estimation, (iii) synthesis of the total error into a three-dimensional error form using a simplified kinematic model and finally (iv) error compensation. Implemented on a turning center, the neurocompensation approach has improved machine accuracy by reducing the maximum error without compensation from 70 [mu]m without compensation to less than 4 [mu]m. [PUBLICATION ABSTRACT]
ISSN:0956-5515
1572-8145
DOI:10.1023/A:1026500422130