Mechanical model of errors of probes for numerical controlled machine tools

Michał Jankowski , Adam Woźniak

Abstract

CNC machine tool probes are not only used to set up the workpiece before machining and to control it after machining, but also to determine volumetric errors of the machine tool. That’s why there is a necessity not only for knowledge of the complete on-machine measurement system errors, but also for the knowledge about probe’s errors in separation from machine tools. This paper presents a theoretical model of errors of probes for CNC machine tools. It takes into account such unique features of the machine tool probes as the transducer with support on the whole circumference and as wireless communication. 3 probes: RMP60, MP700 and IRP32.00-MINI were tested using moving master artifact method, out of machine tool, to verify the model described. The triggering radius values obtained experimentally were compared with values calculated using theoretical model, resulting with a compliance up to 92%.
Author Michał Jankowski (FM / IMBE)
Michał Jankowski,,
- The Institute of Metrology and Biomedical Engineering
, Adam Woźniak (FM / IMBE)
Adam Woźniak,,
- The Institute of Metrology and Biomedical Engineering
Journal seriesMeasurement, ISSN 0263-2241
Issue year2016
Vol77
Pages317-326
Publication size in sheets0.5
Keywords in English Probes; Error model; Machine tools; On-machine measurement; Coordinate measurements
ASJC Classification2604 Applied Mathematics; 2208 Electrical and Electronic Engineering; 3104 Condensed Matter Physics; 3105 Instrumentation
DOIDOI:10.1016/j.measurement.2015.09.023
URL http://www.sciencedirect.com/science/article/pii/S026322411500490X
Languageen angielski
Score (nominal)30
Score sourcejournalList
ScoreMinisterial score = 30.0, 31-01-2020, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 31-01-2020, ArticleFromJournal
Publication indicators WoS Citations = 3; Scopus Citations = 9; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.685; WoS Impact Factor: 2016 = 2.359 (2) - 2016=2.255 (5)
Citation count*22 (2020-06-06)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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