Open AccessWind turbine blade leading-edge erosion: laboratory experiments and image processing under an engaged learning experience
Author(s) -
R.J. Barthelmie,
Frederick Letson,
Shazaib Ahsan,
D.K. Barbaria,
C.S. Barrera,
A. Crear,
L.C.C. Dudley,
M. Garell,
E.J. La Spisa,
S. Li,
A. Mishr,
A.R. Paranjape,
S. Rambaran,
Abdul Qadir Shah,
Anuradha Singh,
Weifei Hu,
Sara C. Pryor
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1452/1/012046
Subject(s) - outreach , turbine , enhanced data rates for gsm evolution , engineering , wind tunnel , blade (archaeology) , computer science , marine engineering , mechanical engineering , aerospace engineering , artificial intelligence , political science , law
This paper reports results from an engaged learning activity conducted within an integrated, multi-scale, multi-disciplinary project focused on wind turbine blade leading edge erosion. Actions and outcomes of a series of engaged learning activities by undergraduate and graduate students undertaken in spring 2019 are reported. In designing and conducting the numerical and laboratory experiments, the students learnt and applied a range of practical skills from 3D printing to working in the wind tunnel, creating controlled images and image processing techniques. The student team also engaged in substantial professional development and educational outreach activities.