Sep, 2018
Motion accuracy enhancement of five-axis machine tools by modified CL-data
International Journal of Automation Technology
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- Volume
- 12
- Number
- 5
- First page
- 699
- Last page
- 706
- Language
- Publishing type
- Research paper (scientific journal)
- DOI
- 10.20965/ijat.2018.p0699
© 2018, Fuji Technology Press. All rights reserved. The motion trajectories of machine tools directly influence the geometrical shape of machined workpieces. Hence, improvement in their motion accuracy is required. It is known that machined shape errors occurring in numerical control (NC) machine tools can be compensated for by modifying the CL-data, based on the amount of error calculated by the measurement results of the machined shape of the workpiece. However, by using this method the shape errors cannot be compensated accurately in five-axis machining, because the final machining shape may not reflect the motion trajectory of a tool owing to the motion errors of the translational and rotary axes. In this study, a modification method of the cutter location (CL)-data, based on the amount of motion errors of the tool center-point trajectory during the machining motion, is newly proposed. The simulation and experiment of a wing profile machining motion is performed, to confirm the effectiveness of the proposed method. From the results, we confirm that the motion accuracy can be significantly improved by applying the proposed method.
- Link information
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- DOI
- https://doi.org/10.20965/ijat.2018.p0699
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000452535100011&DestApp=WOS_CPL
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85055264880&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85055264880&origin=inward
- ID information
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- DOI : 10.20965/ijat.2018.p0699
- ISSN : 1881-7629
- eISSN : 1883-8022
- SCOPUS ID : 85055264880
- Web of Science ID : WOS:000452535100011