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Conference object . 2016
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https://doi.org/10.1109/aim.20...
Article . 2016 . Peer-reviewed
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DBLP
Conference object
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Offline gain adjustment with constraints for contour error reduction in high speed milling

Authors: Duong, Tan-Quang; Rodriguez-Ayerbe, Pedro; Lavernhe, Sylvain; Tournier, Christophe; Dumur, Didier;

Offline gain adjustment with constraints for contour error reduction in high speed milling

Abstract

In machining complex parts with high speed milling, small contour error (CE) and high surface quality are usually two major concerns. Many papers have focused on reducing CE by online contouring adaptation in the presence of disturbances and/or uncertain nonlinearities. Besides, calibration methods on pre-machining process such as smoothing the setpoints with optimized feedrate are also preferred. In contrast, less efforts have been done to analyze the relationship between profile geometry, control tuning or adjustment and effective CE in order to obtain CE as small as possible. To effectively deal with this challenge, an Offline Gain Adjustment (OGA) algorithm is developed in this paper. The simulated comparisons with existing fixed gain controller prove the efficiency of the proposed OGA method.

Keywords

[SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green