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Traceability of On-Machine Tool Measurement: A Review
Nowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power need complex and accurate components that...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539775/ https://www.ncbi.nlm.nih.gov/pubmed/28696358 http://dx.doi.org/10.3390/s17071605 |
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author | Mutilba, Unai Gomez-Acedo, Eneko Kortaberria, Gorka Olarra, Aitor Yagüe-Fabra, Jose A. |
author_facet | Mutilba, Unai Gomez-Acedo, Eneko Kortaberria, Gorka Olarra, Aitor Yagüe-Fabra, Jose A. |
author_sort | Mutilba, Unai |
collection | PubMed |
description | Nowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power need complex and accurate components that demand close measurements and fast feedback into their manufacturing processes. New measuring technologies are already available in machine tools, including integrated touch probes and fast interface capabilities. They provide the possibility to measure the workpiece in-machine during or after its manufacture, maintaining the original setup of the workpiece and avoiding the manufacturing process from being interrupted to transport the workpiece to a measuring position. However, the traceability of the measurement process on a machine tool is not ensured yet and measurement data is still not fully reliable enough for process control or product validation. The scientific objective is to determine the uncertainty on a machine tool measurement and, therefore, convert it into a machine integrated traceable measuring process. For that purpose, an error budget should consider error sources such as the machine tools, components under measurement and the interactions between both of them. This paper reviews all those uncertainty sources, being mainly focused on those related to the machine tool, either on the process of geometric error assessment of the machine or on the technology employed to probe the measurand. |
format | Online Article Text |
id | pubmed-5539775 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-55397752017-08-11 Traceability of On-Machine Tool Measurement: A Review Mutilba, Unai Gomez-Acedo, Eneko Kortaberria, Gorka Olarra, Aitor Yagüe-Fabra, Jose A. Sensors (Basel) Review Nowadays, errors during the manufacturing process of high value components are not acceptable in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power need complex and accurate components that demand close measurements and fast feedback into their manufacturing processes. New measuring technologies are already available in machine tools, including integrated touch probes and fast interface capabilities. They provide the possibility to measure the workpiece in-machine during or after its manufacture, maintaining the original setup of the workpiece and avoiding the manufacturing process from being interrupted to transport the workpiece to a measuring position. However, the traceability of the measurement process on a machine tool is not ensured yet and measurement data is still not fully reliable enough for process control or product validation. The scientific objective is to determine the uncertainty on a machine tool measurement and, therefore, convert it into a machine integrated traceable measuring process. For that purpose, an error budget should consider error sources such as the machine tools, components under measurement and the interactions between both of them. This paper reviews all those uncertainty sources, being mainly focused on those related to the machine tool, either on the process of geometric error assessment of the machine or on the technology employed to probe the measurand. MDPI 2017-07-11 /pmc/articles/PMC5539775/ /pubmed/28696358 http://dx.doi.org/10.3390/s17071605 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Mutilba, Unai Gomez-Acedo, Eneko Kortaberria, Gorka Olarra, Aitor Yagüe-Fabra, Jose A. Traceability of On-Machine Tool Measurement: A Review |
title | Traceability of On-Machine Tool Measurement: A Review |
title_full | Traceability of On-Machine Tool Measurement: A Review |
title_fullStr | Traceability of On-Machine Tool Measurement: A Review |
title_full_unstemmed | Traceability of On-Machine Tool Measurement: A Review |
title_short | Traceability of On-Machine Tool Measurement: A Review |
title_sort | traceability of on-machine tool measurement: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539775/ https://www.ncbi.nlm.nih.gov/pubmed/28696358 http://dx.doi.org/10.3390/s17071605 |
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