Development and metrological validation of a new automated scanner system for freeform measurements on wind turbine blades in the production

Rasmus Ahrenkiel Lyngby; Ewa Nielsen; Leonardo De Chiffre; Henrik Aanæs; Anders Bjorholm Dahl

doi:10.1016/j.precisioneng.2018.12.006

Development and metrological validation of a new automated scanner system for freeform measurements on wind turbine blades in the production

Rasmus Ahrenkiel Lyngby^*, Ewa Nielsen, Leonardo De Chiffre, Henrik Aanæs, Anders Bjorholm Dahl

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

Geometrical defects on the surface of wind turbine blades can severely degrade the blade during operation and lead to reduced lift, which in turn reduces the power output of the turbine. This paper presents an automated surface geometry inspection system, which is designed based on manufacturing requirements. Estimating the measurement uncertainty and establishing traceability is difficult for huge, freeform objects. An approach based on the Modular Freeform Gauge (MFG) method is presented and used to estimate the measurement uncertainty of the system. An expanded measurement uncertainty of 665 μm (k=2) was established for the system and verified by measurements on a 55 meter long blade.

Original language	English
Journal	Precision Engineering
Volume	56
Pages (from-to)	255-266
ISSN	0141-6359
DOIs	https://doi.org/10.1016/j.precisioneng.2018.12.006
Publication status	Published - 1 Mar 2019

Keywords

3D measurement
Freeform surface metrology
ISO 15530-3
Large object metrology
Modular freeform gauge
Wind turbine blade

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10.1016/j.precisioneng.2018.12.006

FulltextAccepted author manuscript, 12.9 MBLicence: CC BY-NC-ND

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title = "Development and metrological validation of a new automated scanner system for freeform measurements on wind turbine blades in the production",

abstract = "Geometrical defects on the surface of wind turbine blades can severely degrade the blade during operation and lead to reduced lift, which in turn reduces the power output of the turbine. This paper presents an automated surface geometry inspection system, which is designed based on manufacturing requirements. Estimating the measurement uncertainty and establishing traceability is difficult for huge, freeform objects. An approach based on the Modular Freeform Gauge (MFG) method is presented and used to estimate the measurement uncertainty of the system. An expanded measurement uncertainty of 665 μm (k=2) was established for the system and verified by measurements on a 55 meter long blade.",

keywords = "3D measurement, Freeform surface metrology, ISO 15530-3, Large object metrology, Modular freeform gauge, Wind turbine blade",

author = "Lyngby, {Rasmus Ahrenkiel} and Ewa Nielsen and {De Chiffre}, Leonardo and Henrik Aan{\ae}s and Dahl, {Anders Bjorholm}",

year = "2019",

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doi = "10.1016/j.precisioneng.2018.12.006",

language = "English",

volume = "56",

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journal = "Precision Engineering",

issn = "0141-6359",

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Development and metrological validation of a new automated scanner system for freeform measurements on wind turbine blades in the production. / Lyngby, Rasmus Ahrenkiel; Nielsen, Ewa; De Chiffre, Leonardo; Aanæs, Henrik; Dahl, Anders Bjorholm.

In: Precision Engineering, Vol. 56, 01.03.2019, p. 255-266.

Research output: Contribution to journal › Journal article › Research › peer-review

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T1 - Development and metrological validation of a new automated scanner system for freeform measurements on wind turbine blades in the production

AU - Lyngby, Rasmus Ahrenkiel

AU - Nielsen, Ewa

AU - De Chiffre, Leonardo

AU - Aanæs, Henrik

AU - Dahl, Anders Bjorholm

PY - 2019/3/1

Y1 - 2019/3/1

N2 - Geometrical defects on the surface of wind turbine blades can severely degrade the blade during operation and lead to reduced lift, which in turn reduces the power output of the turbine. This paper presents an automated surface geometry inspection system, which is designed based on manufacturing requirements. Estimating the measurement uncertainty and establishing traceability is difficult for huge, freeform objects. An approach based on the Modular Freeform Gauge (MFG) method is presented and used to estimate the measurement uncertainty of the system. An expanded measurement uncertainty of 665 μm (k=2) was established for the system and verified by measurements on a 55 meter long blade.

AB - Geometrical defects on the surface of wind turbine blades can severely degrade the blade during operation and lead to reduced lift, which in turn reduces the power output of the turbine. This paper presents an automated surface geometry inspection system, which is designed based on manufacturing requirements. Estimating the measurement uncertainty and establishing traceability is difficult for huge, freeform objects. An approach based on the Modular Freeform Gauge (MFG) method is presented and used to estimate the measurement uncertainty of the system. An expanded measurement uncertainty of 665 μm (k=2) was established for the system and verified by measurements on a 55 meter long blade.

KW - 3D measurement

KW - Freeform surface metrology

KW - ISO 15530-3

KW - Large object metrology

KW - Modular freeform gauge

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JF - Precision Engineering

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