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Design and Metrological Analysis of a Backlit Vision System for Surface Roughness Measurements of Turned Parts
The focus of this study is to design a backlit vision instrument capable of measuring surface roughness and to discuss its metrological performance compared to traditional measurement instruments. The instrument is a non-contact high-magnification imaging system characterized by short inspection tim...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919593/ https://www.ncbi.nlm.nih.gov/pubmed/36772626 http://dx.doi.org/10.3390/s23031584 |
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author | Baleani, Alessia Paone, Nicola Gladines, Jona Vanlanduit, Steve |
author_facet | Baleani, Alessia Paone, Nicola Gladines, Jona Vanlanduit, Steve |
author_sort | Baleani, Alessia |
collection | PubMed |
description | The focus of this study is to design a backlit vision instrument capable of measuring surface roughness and to discuss its metrological performance compared to traditional measurement instruments. The instrument is a non-contact high-magnification imaging system characterized by short inspection time which opens the perspective of in-line implementation. We combined the use of the modulation transfer function to evaluate the imaging conditions of an electrically tunable lens to obtain an optimally focused image. We prepared a set of turned steel samples with different roughness in the range R(a) 2.4 µm to 15.1 µm. The layout of the instrument is presented, including a discussion on how optimal imaging conditions were obtained. The paper describes the comparison performed on measurements collected with the vision system designed in this work and state-of-the-art instruments. A comparison of the results of the backlit system depends on the values of surface roughness considered; while at larger values of roughness the offset increases, the results are compatible with the ones of the stylus at lower values of roughness. In fact, the error bands are superimposed by at least 58% based on the cases analyzed. |
format | Online Article Text |
id | pubmed-9919593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99195932023-02-12 Design and Metrological Analysis of a Backlit Vision System for Surface Roughness Measurements of Turned Parts Baleani, Alessia Paone, Nicola Gladines, Jona Vanlanduit, Steve Sensors (Basel) Article The focus of this study is to design a backlit vision instrument capable of measuring surface roughness and to discuss its metrological performance compared to traditional measurement instruments. The instrument is a non-contact high-magnification imaging system characterized by short inspection time which opens the perspective of in-line implementation. We combined the use of the modulation transfer function to evaluate the imaging conditions of an electrically tunable lens to obtain an optimally focused image. We prepared a set of turned steel samples with different roughness in the range R(a) 2.4 µm to 15.1 µm. The layout of the instrument is presented, including a discussion on how optimal imaging conditions were obtained. The paper describes the comparison performed on measurements collected with the vision system designed in this work and state-of-the-art instruments. A comparison of the results of the backlit system depends on the values of surface roughness considered; while at larger values of roughness the offset increases, the results are compatible with the ones of the stylus at lower values of roughness. In fact, the error bands are superimposed by at least 58% based on the cases analyzed. MDPI 2023-02-01 /pmc/articles/PMC9919593/ /pubmed/36772626 http://dx.doi.org/10.3390/s23031584 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Baleani, Alessia Paone, Nicola Gladines, Jona Vanlanduit, Steve Design and Metrological Analysis of a Backlit Vision System for Surface Roughness Measurements of Turned Parts |
title | Design and Metrological Analysis of a Backlit Vision System for Surface Roughness Measurements of Turned Parts |
title_full | Design and Metrological Analysis of a Backlit Vision System for Surface Roughness Measurements of Turned Parts |
title_fullStr | Design and Metrological Analysis of a Backlit Vision System for Surface Roughness Measurements of Turned Parts |
title_full_unstemmed | Design and Metrological Analysis of a Backlit Vision System for Surface Roughness Measurements of Turned Parts |
title_short | Design and Metrological Analysis of a Backlit Vision System for Surface Roughness Measurements of Turned Parts |
title_sort | design and metrological analysis of a backlit vision system for surface roughness measurements of turned parts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919593/ https://www.ncbi.nlm.nih.gov/pubmed/36772626 http://dx.doi.org/10.3390/s23031584 |
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