Five axis machine tool volumetric error prediction through an indirect estimation of intra- and inter-axis error parameters by probing facets on a scale enriched uncalibrated indigenous artefact-Reference-Cited by-同舟云学术

Five axis machine tool volumetric error prediction through an indirect estimation of intra- and inter-axis error parameters by probing facets on a scale enriched uncalibrated indigenous artefact

Published:2015-04 Issue: Volume:40 Page:94-105
ISSN:0141-6359
Container-title:Precision Engineering
language:en
Short-container-title:Precision Engineering

Author:

Rahman Md Mizanur,Mayer J.R.R.

Funder

National Science and Engineering Research Council of Canada

The Consortium for Research and Innovation in Aerospace in Quebec

Pratt & Whitney Canada

Meloche Group

SONACA Montreal-MANU408

Publisher

Elsevier BV

Subject

General Engineering

Reference18 articles.

1. Geometric error measurement and compensation of machines – an update;Schwenke;CIRP Ann Manuf Technol,2008

2. Indirect measurement of volumetric accuracy for three-axis and five-axis machine tools: a review;Ibaraki;Int J Autom Technol,2012

3. R-test, a new device for accuracy measurements on five axis machine tools;Weikert;CIRP Ann Manuf Technol,2004

4. Model-based ‘chase-the-ball’ calibration of a 5-axes machining center;Bringmann;CIRP Ann Manuf Technol,2006

5. Non-contact R-test with laser displacement sensors for error calibration of five-axis machine tools;Hong;Precis Eng,2013

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