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Optimal Number of Control Points for Fitting B-Splines in Wind Turbine Blade Measurement

Chan, Ching Hin Lydia; Wang, Qing; Holden, Roger; Huang, Songling; Zhao, Wei

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Authors

Ching Hin Lydia Chan

Roger Holden

Songling Huang

Wei Zhao



Abstract

The manufacture of large-scale products such as aircraft and wind turbines needs detailed inspection to ensure the required dimensional tolerances are met. A coherent laser radar with an assisting mirror was used in this research to inspect a half-size wind turbine blade. This paper investigates the optimal distribution of inspection points that would produce the most accurate B-Spline fitting to the CAD model surfaces and so shorten the inspection and analysis process without compromising on accuracy. Even though the optimal solution was found to be points with 100 mm spacing on a moderate surface gradient and with 20–25 mm spacing on a more severe surface gradient, the findings suggest the employment of a non-uniform distribution would produce a more accurate fitting. This paper also explores data alignment by Degree of Freedom constraints with a triple B-Spline and investigates whether denser data points would improve the transformation. The optimal solution was found to be constraining movement in Z, Rx and Ry. Therefore, to achieve better transformation, surfaces were treated based on their gradient. This resulted in a constraint in X, Y and Z, and Ry for a moderate gradient and Y, Z and Rz for a more severe gradient. The optimal number of inspection points for fitting a B-Spline on a half-size blade was found to be 18 points for the front section with 100 mm spacing, 15 points for the back section with 100 mm spacing, and between 14 and 18 points with 20–25 mm spacing on the base section.

Citation

Chan, C. H. L., Wang, Q., Holden, R., Huang, S., & Zhao, W. (2019). Optimal Number of Control Points for Fitting B-Splines in Wind Turbine Blade Measurement. International Journal of Precision Engineering and Manufacturing, 20(9), 1507-1517. https://doi.org/10.1007/s12541-019-00173-2

Journal Article Type Article
Acceptance Date Jun 11, 2019
Online Publication Date Jun 28, 2019
Publication Date Sep 30, 2019
Deposit Date Jul 12, 2019
Publicly Available Date Jun 28, 2020
Journal International Journal of Precision Engineering and Manufacturing
Print ISSN 2234-7593
Electronic ISSN 2005-4602
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 20
Issue 9
Pages 1507-1517
DOI https://doi.org/10.1007/s12541-019-00173-2
Public URL https://durham-repository.worktribe.com/output/1297509

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Copyright Statement
This is a post-peer-review, pre-copyedit version of an article published in International Journal of Precision Engineering and Manufacturing. The final authenticated version is available online at: https://doi.org/10.1007/s12541-019-00173-2






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