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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Precision Engineerin...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Precision Engineering
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A robust level error estimation method for machine tool installation

Authors: Kotaro Mori; Daisuke Kono; Atsushi Matsubara;

A robust level error estimation method for machine tool installation

Abstract

Abstract The accuracy of the machine tool is essential for precision manufacturing. Many machines with long bed are often require more than four supports to compensate the deformations of the bed. This leveling and alignment of machine bed guarantees the accuracies of the machine tool. During the installation of these machines, it is important to compensate the unevenness of floor at the installation site. This adjustment procedure is called “level adjustment.” Because of the circular changes, level adjustments are also regularly required to maintain accuracy. In conventional level adjustment methods, level adjustments are performed by skilled installers based on their experience utilizing measurement results with a trial-and-error method. For inexperienced technicians, the task of making a level adjustment in a short time is not easy. Thus, a model-based level adjustment method is demanded. However, the conventional model-based method was not suitable for practical environments. The effect of measurement noise is not considered enough. In this paper, a noise-robust level adjustment method is proposed, that utilizes a model between preload change of supports and leveling. It can estimate level errors from preload changes of supports. The consideration of preload measurement noises allows implementing this system with practical preload sensors. In this paper, the fundamentals of the proposed method are experimentally investigated on a test bench. Then, the feasibility of the method is investigated on a machining center with simulations.

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Powered by OpenAIRE graph
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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!
11
Top 10%
Average
Top 10%
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