Parametric Design of Wind Turbine Blades Based on Pro/E

2012 ◽  
Vol 580 ◽  
pp. 415-418
Author(s):  
Xi Cang Wang ◽  
Shou Zhen Guo
Keyword(s):  
Wind Turbine ◽  
Parametric Design ◽  
Turbine Blades ◽  
Centrifugal Fan ◽  
3D Mapping ◽  
Wind Turbine Blades ◽  
Improve Design ◽  
Fan Blade

Based on the analysis of formation theories and constructive characteristics of centrifugal fan blade, with advanced 3D mapping design softwares, a integration parametric design is realized by putting the modeling, calculating, mapping and processing into an organic whole with computers, to get accurate drawings and improve design precision.

Wind Turbine Blade Structure Parameterization Using T4T

2014 ◽  
Author(s):  
Giorgos A. Strofylas ◽  
Georgios I. Mazanakis ◽  
Ioannis K. Nikolos
Keyword(s):  
Wind Turbine ◽  
Parametric Design ◽  
Turbine Blades ◽  
Design Procedure ◽  
Software Tool ◽  
Computational Procedure ◽  
Physical Parameters ◽  
Wind Turbine Blades ◽  
Definition Of ◽  
Cloud Of Points

A software tool named “T4T” (Tools for Turbomachinery) has been developed for the parametric design of turbomachinery and wind turbine blades. The complete design procedure is object-oriented and parametric, providing the ability to the user to define various types of blades. It has been developed in QT C++, utilizing OpenCascade graphical and computational libraries. The software allows the user to design the outer surface either by specifying some physical parameters for each blade section, or by directly interpolating a surface through a cloud of points. The new/enhanced version of “T4T” software tool, introducing the definition of internal blade structure for wind turbines rotors, is fully parametric and customizable, allowing the user for defining the internal blade structure, including shear webs. The computational procedure finally produces compound solids, which can be further imported to mesh generation and analysis software through standard geometry exchange protocols, for cooperation with CFD and CSD solvers.

Experiments of Wind Turbine Blades with Rocket Triggered Lightning

2009 ◽  
Vol 129 (5) ◽  
pp. 689-695
Author(s):  
Masayuki Minowa ◽  
Shinichi Sumi ◽  
Masayasu Minami ◽  
Kenji Horii
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Wind Turbine Blades ◽  
Triggered Lightning

Folding of flexible hinges for aircraft wingtips and wind turbine blades

2021 ◽  
Author(s):  
Aileen G. Bowen Perez ◽  
Giovanni Zucco ◽  
Paul Weaver
Keyword(s):  
Wind Turbine ◽  
Turbine Blades ◽  
Wind Turbine Blades

Evaluation of the influence of wind speed and angle of attack on the aerodynamic effect of wind turbine blades

2017 ◽  
Author(s):  
Salete Alves ◽  
Luiz Guilherme Vieira Meira de Souza ◽  
Edália Azevedo de Faria ◽  
Maria Thereza dos Santos Silva ◽  
Ranaildo Silva
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Turbine Blades ◽  
Angle Of Attack ◽  
Wind Turbine Blades ◽  
Aerodynamic Effect

scholarly journals Rain Erosion Maps for Wind Turbines Based on Geographical Locations: A Case Study in Ireland and Britain

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
K. Pugh ◽  
M. M. Stack
Keyword(s):  
Wind Turbine ◽  
Western Europe ◽  
Meteorological Data ◽  
Turbine Blades ◽  
Weather Conditions ◽  
Annual Rainfall ◽  
Wind Turbine Blades ◽  
Weather Patterns ◽  
The Uk

AbstractErosion rates of wind turbine blades are not constant, and they depend on many external factors including meteorological differences relating to global weather patterns. In order to track the degradation of the turbine blades, it is important to analyse the distribution and change in weather conditions across the country. This case study addresses rainfall in Western Europe using the UK and Ireland data to create a relationship between the erosion rate of wind turbine blades and rainfall for both countries. In order to match the appropriate erosion data to the meteorological data, 2 months of the annual rainfall were chosen, and the differences were analysed. The month of highest rain, January and month of least rain, May were selected for the study. The two variables were then combined with other data including hailstorm events and locations of wind turbine farms to create a general overview of erosion with relation to wind turbine blades.

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