Meshless numerical approach to flutter analysis of rotating pre-twisted nanocomposite blades subjected to supersonic airflow

2021 ◽  
Vol 132 ◽  
pp. 1-11
Author(s):  
Hulun Guo ◽  
Xu Ouyang ◽  
Krzysztof Kamil Żur ◽  
Xintao Wu
1989 ◽  
Vol 42 (11S) ◽  
pp. S249-S252 ◽  
Author(s):  
R. L. M. Suanno ◽  
R. Rosas e Silva

Classical problems of columns under tangential (follower) loads are analyzed for stability. A generalized Ritz technique is used in conjunction with a computer-oriented algorithm suitable for the flutter analysis of complex structural systems. A brief description of this technique is presented. The numerical approach allows for easy consideration of additional effects in classical problems such as the Beck and Leipholz columns. The influence of shear deformation, rotatory inertia, and concentrated mass at the tip of the column is shown in graphs and discussed.


2021 ◽  
Author(s):  
Chandra Shekhar Prasad ◽  
Radek Kolman ◽  
Ludek Pesek

Abstract In this paper a cost effective numerical model for subsonic classical flutter analysis for turbomachinery is presented. The model is based on reduced order aeroelastic modeling (ROAM) approach. The prime objective of the ROAM is to significantly reduce the computational time for flutter analysis of low pressure (LP) stage blades of power turbines at preliminary design stage. A mesh free incompressible fluid solver based on boundary element method(BEM) e.g. 3D panel method is developed. The proposed ROAM is employed to perform subsonic aeroelastic stability analysis in 3D blade cascades. The ROAM simulated results are compared against experimental and high fidelity CFD-CSD model's results. The ROAM estimated results show good agreement with experimental results and prove to be much faster in execution compared to CFD-CSD model. Therefore, this gives designers and engineers a freedom to analyze multiple design iteration in very short time on normal workstation. Thus, the ROAM has immense potential for industrial use as a cost effective and faster numerical tool for design and analysis of more efficient and safer power turbines to meet the future demand of electric energy cheaply, quickly and efficiently.


2019 ◽  
Vol 12 (1) ◽  
pp. 46
Author(s):  
Youssef S. Matter ◽  
Tariq Taha Darabseh ◽  
Abdel-Hamid I. Mourad

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