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A Rapid Method to Achieve Aero-Engine Blade Form Detection

This paper proposes a rapid method to detect aero-engine blade form, according to the characteristics of an aero-engine blade surface. This method first deduces an inclination error model in free-form surface measurements based on the non-contact laser triangulation principle. Then a four-coordinate...

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Detalles Bibliográficos
Autores principales: Sun, Bin, Li, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507604/
https://www.ncbi.nlm.nih.gov/pubmed/26039420
http://dx.doi.org/10.3390/s150612782
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author Sun, Bin
Li, Bing
author_facet Sun, Bin
Li, Bing
author_sort Sun, Bin
collection PubMed
description This paper proposes a rapid method to detect aero-engine blade form, according to the characteristics of an aero-engine blade surface. This method first deduces an inclination error model in free-form surface measurements based on the non-contact laser triangulation principle. Then a four-coordinate measuring system was independently developed, a special fixture was designed according to the blade shape features, and a fast measurement of the blade features path was planned. Finally, by using the inclination error model for correction of acquired data, the measurement error that was caused by tilt form is compensated. As a result the measurement accuracy of the Laser Displacement Sensor was less than 10 μm. After the experimental verification, this method makes full use of optical non-contact measurement fast speed, high precision and wide measuring range of features. Using a standard gauge block as a measurement reference, the coordinate system conversion data is simple and practical. It not only improves the measurement accuracy of the blade surface, but also its measurement efficiency. Therefore, this method increases the value of the measurement of complex surfaces.
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spelling pubmed-45076042015-07-22 A Rapid Method to Achieve Aero-Engine Blade Form Detection Sun, Bin Li, Bing Sensors (Basel) Article This paper proposes a rapid method to detect aero-engine blade form, according to the characteristics of an aero-engine blade surface. This method first deduces an inclination error model in free-form surface measurements based on the non-contact laser triangulation principle. Then a four-coordinate measuring system was independently developed, a special fixture was designed according to the blade shape features, and a fast measurement of the blade features path was planned. Finally, by using the inclination error model for correction of acquired data, the measurement error that was caused by tilt form is compensated. As a result the measurement accuracy of the Laser Displacement Sensor was less than 10 μm. After the experimental verification, this method makes full use of optical non-contact measurement fast speed, high precision and wide measuring range of features. Using a standard gauge block as a measurement reference, the coordinate system conversion data is simple and practical. It not only improves the measurement accuracy of the blade surface, but also its measurement efficiency. Therefore, this method increases the value of the measurement of complex surfaces. MDPI 2015-06-01 /pmc/articles/PMC4507604/ /pubmed/26039420 http://dx.doi.org/10.3390/s150612782 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sun, Bin
Li, Bing
A Rapid Method to Achieve Aero-Engine Blade Form Detection
title A Rapid Method to Achieve Aero-Engine Blade Form Detection
title_full A Rapid Method to Achieve Aero-Engine Blade Form Detection
title_fullStr A Rapid Method to Achieve Aero-Engine Blade Form Detection
title_full_unstemmed A Rapid Method to Achieve Aero-Engine Blade Form Detection
title_short A Rapid Method to Achieve Aero-Engine Blade Form Detection
title_sort rapid method to achieve aero-engine blade form detection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507604/
https://www.ncbi.nlm.nih.gov/pubmed/26039420
http://dx.doi.org/10.3390/s150612782
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