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Influence assessment of metal-cutting equipment geometrical accuracy on OMV-technologies accuracy

Authors: A. G. Koltsov; D. A. Blokhin; E. V. Krivonos; A. N. Narezhnev;

Influence assessment of metal-cutting equipment geometrical accuracy on OMV-technologies accuracy

Abstract

The paper presents the issue of improvement control accuracy details directly on metal cutting machine tools. The paper considers indicators of the accuracy of machine tools, certain ways to increase the accuracy of machine tools, describes the methods of reducing errors. Approaches to metal cutting equipment functional diagnostics are considered, namely the parameters verification of a working body positioning to maintain potential of OMV-technologies on a machine. The research objective is to assess the accuracy of measurement depending on machine dynamics specifically on the probing feed rate and the geometrical accuracy of the machine tool using mathematical statistics methods. The test specimina measurements were performed twice: directly on a machine tool with PowerInspect OMV and on embedded software coordinate measurement machine. The similar test was performed before and after machine setting. The component measurement feed rate on a machine tool was determined to affect the results of measurement, and the deviation rate is less at the feed rate being increased. By reducing the position tolerance by a factor of 2, the measurement accuracy is increased by a factor of 3.

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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
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