A case study of blade inspection based on optical scanning method.
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| Title: | A case study of blade inspection based on optical scanning method. |
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| Authors: | Li, Wen-long1 (AUTHOR), Zhou, Li-ping1 (AUTHOR), Yan, Si-Jie1 (AUTHOR) sjyan@mail.hust.edu.cn |
| Source: | International Journal of Production Research. Apr2015, Vol. 53 Issue 7, p2165-2178. 14p. |
| Subjects: | Blades (Hydraulic machinery), Aerofoils, Fluid dynamics, Smoothing (Numerical analysis), Numerical analysis, Curve fitting |
| Abstract: | Blades play an important role in aviation engine, gas turbine and jet engine. Inspecting the blade by optical method is a meaningful work in manufacturing industry. During optical inspecting process, one common problem encountered is that the scanned point cloud is large scale and noisy. In this paper, we present a systematic introduction of simplification, smoothing and parameter extraction with respect to point-sampled blades. First, the moving least square surface is applied to create a geometric deviation, which is used to subdivide and cluster the point cloud. Then, the information entropy in k-neighbourhood is defined to smooth point-sampled surface, meanwhile preserving high curvature feature. Furthermore, the computation method of single/multi section parameters is presented, and test experiments are performed in iCloud3D Blade V1.0. Experimental results demonstrate the feasibility and effectiveness of the proposed method. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 100936060 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A case study of blade inspection based on optical scanning method. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Li%2C+Wen-long%22">Li, Wen-long</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Li-ping%22">Zhou, Li-ping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Si-Jie%22">Yan, Si-Jie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> sjyan@mail.hust.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Apr2015, Vol. 53 Issue 7, p2165-2178. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Blades+%28Hydraulic+machinery%29%22">Blades (Hydraulic machinery)</searchLink><br /><searchLink fieldCode="DE" term="%22Aerofoils%22">Aerofoils</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+dynamics%22">Fluid dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Smoothing+%28Numerical+analysis%29%22">Smoothing (Numerical analysis)</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Curve+fitting%22">Curve fitting</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Blades play an important role in aviation engine, gas turbine and jet engine. Inspecting the blade by optical method is a meaningful work in manufacturing industry. During optical inspecting process, one common problem encountered is that the scanned point cloud is large scale and noisy. In this paper, we present a systematic introduction of simplification, smoothing and parameter extraction with respect to point-sampled blades. First, the moving least square surface is applied to create a geometric deviation, which is used to subdivide and cluster the point cloud. Then, the information entropy in k-neighbourhood is defined to smooth point-sampled surface, meanwhile preserving high curvature feature. Furthermore, the computation method of single/multi section parameters is presented, and test experiments are performed in iCloud3D Blade V1.0. Experimental results demonstrate the feasibility and effectiveness of the proposed method. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00207543.2014.974851 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 2165 Subjects: – SubjectFull: Blades (Hydraulic machinery) Type: general – SubjectFull: Aerofoils Type: general – SubjectFull: Fluid dynamics Type: general – SubjectFull: Smoothing (Numerical analysis) Type: general – SubjectFull: Numerical analysis Type: general – SubjectFull: Curve fitting Type: general Titles: – TitleFull: A case study of blade inspection based on optical scanning method. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li, Wen-long – PersonEntity: Name: NameFull: Zhou, Li-ping – PersonEntity: Name: NameFull: Yan, Si-Jie IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 00207543 Numbering: – Type: volume Value: 53 – Type: issue Value: 7 Titles: – TitleFull: International Journal of Production Research Type: main |
| ResultId | 1 |