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Journal article

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

From

Department of Applied Mathematics and Computer Science, Technical University of Denmark1

Siemens Gamesa Renewable Energy A/S2

Department of Mechanical Engineering, Technical University of Denmark3

Manufacturing Engineering, Department of Mechanical Engineering, Technical University of Denmark4

Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark5

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.

Language: English
Year: 2019
Pages: 255-266
ISSN: 18732372 and 01416359
Types: Journal article
DOI: 10.1016/j.precisioneng.2018.12.006
ORCIDs: De Chiffre, Leonardo , Aanæs, Henrik and Dahl, Anders Bjorholm

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