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 | |
| Publication status | Published - 1 Mar 2019 |
Keywords
- 3D measurement
- Freeform surface metrology
- ISO 15530-3
- Large object metrology
- Modular freeform gauge
- Wind turbine blade
Cite this
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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
TY - JOUR
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
KW - Wind turbine blade
U2 - 10.1016/j.precisioneng.2018.12.006
DO - 10.1016/j.precisioneng.2018.12.006
M3 - Journal article
AN - SCOPUS:85059486149
VL - 56
SP - 255
EP - 266
JO - Precision Engineering
JF - Precision Engineering
SN - 0141-6359
ER -