Inicio  /  Aerospace  /  Vol: 8 Par: 12 (2021)  /  Artículo
ARTÍCULO
TITULO

X-ray Computed Tomography Method for Macroscopic Structural Property Evaluation of Active Twist Composite Blades

Joon H. Ahn    
Hyun J. Hwang    
Sehoon Chang    
Sung Nam Jung    
Steffen Kalow and Ralf Keimer    

Resumen

This paper describes an evaluation of the structural properties of the next-generation active twist blade using X-ray computed tomography (CT) combined with digital image processing. This non-destructive testing technique avoids the costly demolition of the blade structure. The CT scan covers the whole blade region, including the root, transition, and tip regions, as well as the airfoil blade regions, in which there are spanwise variations in the interior structural layout due to the existence of heavy instrumentation. The three-dimensional digital image data are processed at selected radial stations, and finite element beam cross-section analyses are conducted to evaluate the structural properties of the blade at the macroscopic level. The fidelity of the digital blade model is first assessed by correlating the estimated blade mass with the measured data. A separate mechanical measurement is then carried out to determine the representative elastic properties of the blade and to verify the predicted results. The agreement is found to be good to excellent for the mass, elastic axis, flap bending, and torsional rigidity. The discrepancies are less than 2.0% for the mass and elastic axis locations, and about 8.1% for the blade stiffness properties, as compared with the measured data. Finally, a sensitivity analysis is conducted to clarify the impact of modeling the sensor and actuator cables, nose weight, and manufacturing imperfections on the structural properties of the blade.

 Artículos similares

       
 
Ebrahim Hajian, José Couceiro, Lars Hansson and Dick Sandberg    
Determining moisture content (MC) distribution during the drying of porous materials such as wood is crucial for developing drying schedules and assessing their suitability to achieve optimised processes. This study aimed to determine the causes of the u... ver más
Revista: Applied Sciences

 
Shubham Mathesul, Debabrata Swain, Santosh Kumar Satapathy, Ayush Rambhad, Biswaranjan Acharya, Vassilis C. Gerogiannis and Andreas Kanavos    
The COVID-19 pandemic has posed significant challenges in accurately diagnosing the disease, as severe cases may present symptoms similar to pneumonia. Real-Time Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) is the conventional diagnostic tech... ver más
Revista: Algorithms

 
Daniele Passaretti, Mukesh Ghosh, Shiras Abdurahman, Micaela Lambru Egito and Thilo Pionteck    
In computed tomography imaging, the computationally intensive tasks are the pre-processing of 2D detector data to generate total attenuation or line integral projections and the reconstruction of the 3D volume from the projections. This paper proposes th... ver más
Revista: Applied Sciences

 
Jinhuan Zhao, Changling Liu, Chengfeng Li, Yongchao Zhang, Qingtao Bu, Nengyou Wu, Yang Liu and Qiang Chen    
Characterizing the electrical property of hydrate-bearing sediments is essential for hydrate reservoir identification and saturation evaluation. As the major contributor to electrical conductivity, pore water is a key factor in characterizing the electri... ver más

 
Suguna G C, Veerabhadrappa S T, Tejas A, Vaishnavi P, Raghunandan Gowda, Panchami Udupa, Spoorthy, Smitha Reddy, Sudarshan E     Pág. 183 - 194
Coronavirus disease 2019 popularly known as COVID 19 was first found in Wuhan, China in December 2019. World Health Organization declared Covid 19 as a transmission disease. The symptoms were cough, loss of taste, fever, tiredness, respiratory problem. T... ver más