Abstract
The reliability of the wind turbine blade (WTB) evaluation using a new criterion is presented in the work. Variation of the ultrasonic guided waves (UGW) phase velocity is proposed to be used as a new criterion for defect detection. Based on an intermediate value between the maximum and minimum values, the calculation of the phase velocity threshold is used for defect detection, location and sizing. The operation of the proposed technique is verified using simulation and experimental studies. The artificially milled defect having a diameter of 81 mm on the segment of WTB is used for verification of the proposed technique. After the application of the proposed evaluation technique for analysis of the simulated B-scan image, the coordinates of defect edges have been estimated with relative errors of 3.7% and 3%, respectively. The size of the defect was estimated with a relative error of 2.7%. In the case of an experimentally measured B-scan image, the coordinates of defect edges have been estimated with relative errors of 12.5% and 3.9%, respectively. The size of the defect was estimated with a relative error of 10%. The comparative results obtained by modelling and experiment show the suitability of the proposed new criterion to be used for the defect detection tasks solving.
Highlights
The composite structures such as carbon fibre-reinforced polymers (CFRP) and glass fibre-reinforced polymers (GFRP) are extensively used in aerospace, aeronautic, marine, wind turbines and automotive industries due to their high stiffness to weight ratio, loadcarrying capacity, damping properties and much more [1]
The size of defect spatial measurement positions with a moving window is used to obtain the phase velocity was estimated as 89.1 mm with a relative error of 10%
To an measure effective the technique based on phase velocity variations of on intermediate value between the maximum and minimum values, is proposed and used has been developed and proposed for defect detection, location and sizing
Summary
Renaldas Raišutis 1,2, * , Kumar Anubhav Tiwari 1 , Egidijus Žukauskas 1 , Olgirdas Tumšys 1 and Lina Draudvilienė 1.
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