Abstract
Natural frequencies and vibration modes of axial compressor blades are investigated. A refined mathematical model based on the usage of an eight-nodal curvilinear isoparametric finite element was applied. The verification of the model is carried out by finding the frequencies and vibration modes of a smooth cylindrical shell and comparing them with experimental data. A high-precision experimental setup based on an advanced method of time-dependent electronic interferometry was developed for this aim. Thus, the objective of the study is to verify the adequacy of the refined mathematical model by means of the advanced time-dependent electronic interferometry experimental method. The divergence of the results of frequency measurements between numerical calculations and experimental data does not exceed 5 % that indicates the adequacy and high reliability of the developed mathematical model. The developed mathematical model and experimental setup can be used later in the study of blades with more complex geometric and strength characteristics or in cases when the real boundary conditions or mechanical characteristics of material are uncertain.
Nomenclature
- λ
-
light wavelength λ, μm
- Q
-
pulse duty ratio
- φ
-
amplitude displacement of the blade
- I
-
brightness value
- L
-
Lagrange function
- П
-
potential energy of the finite element deformation
- T
-
kinetic energy of the element vibration
- qi
-
generalized coordinate of the finite element i-th node
- k
-
number of the finite element nodes
- [K]
-
finite element stiffness matrix
- {u}
-
vector of element nodes generalized movements
- [M]
-
finite element mass matrix
- f
-
natural vibration frequency
- H
-
number of finite elements model degrees of freedom
- x, y, z
-
Cartesian coordinates
- N
-
finite element shape functions
- ρ
-
density, kg/m3
- E
-
Young’s modulus, MPa
- ϑ
-
Poisson’s ratio
- m, n
-
wave numbers
- l
-
blade height, mm
- b
-
blade feather chord, mm
- cmax
-
blade feather thickness, mm
- α
-
blade feather twist angle, degree
References
1. Krishnakanth PV, Narasa-Raju G. Structural and thermal analysis of gas turbine blade by using FEM. Int J Scientific Res Eng Technol. 2013;2:60–5.Search in Google Scholar
2. Mrinaline M. Steady state structural analysis of single crystal turbine blade. Int J Eng Res Technol. 2016;5:382–4. DOI:10.17577/ijertv5is100314.10.17577/IJERTV5IS100314Search in Google Scholar
3. Ugargol R, Narayanaswamy KS, Sesha-Kumar CV. Life estimation of turbine blisk for a gas turbine engine. Int J Mech Eng Technol 2017;8:393–9.Search in Google Scholar
4. Rzadkowski R, Gnesin V, Kolodyazhnaya L. Unsteady forces acting on the rotor blades in the turbine stage in 3D viscous flow in nominal and off-design regimes. J Vib Eng Technol. 2014;2:89–95.Search in Google Scholar
5. Baqersad J, Niezrecki C, Avitabile P. Predicting full-field dynamic strain on a three-bladed wind turbine using three dimensional point tracking and expansion techniques. Sensors Smart Struct Technol Civil Mech Aerosp Syst. 2014. DOI:10.1117/12.2046106.10.1117/12.2046106Search in Google Scholar
6. Postnov VV, Starovoitov SV, Fomin SY, Basharov RR. Theoretical and experimental stress-strain analysis of machining gas turbine engine parts made of the high energy structural efficiency alloy. J Eng Sci Technol Rev. 2014;7:47–50.10.25103/jestr.075.13Search in Google Scholar
7. Bitkina O, Kang KW, Lee JH. Experimental and theoretical analysis of the stress–strain state of anisotropic multilayer composite panels for wind turbine blade. Renewable Energy. 2015;79:219–26. DOI:10.1016/j.renene.2014.11.004.10.1016/j.renene.2014.11.004Search in Google Scholar
8. Vest CM. Holographic interferometry (pure and applied optics). London: Published by Wiley Blackwell; 1979.Search in Google Scholar
9. Ostrovsky YI, Shchepinov VV, Yakovlev VV. Holographic interference methods for measuring deformations. Moscow: Nauka Press; 1988.Search in Google Scholar
10. Kresis T. Handbook of holographic interferometry. optical and digital methods. Weinheim: WILEY-VCH Verlag GmbH & Co. Publishing house; 2005.Search in Google Scholar
11. Jones R, Wykes C. Holographic and speckle interferometry. a discussion of the theory, practise and application of the technique. Cambridge: Cambridge University Press; 1989.Search in Google Scholar
12. Tkach MR, Yu Z, Dovhan’ H, Zhuk DV, Yu I. Investigation of the gas turbine engines vibration modes using the method of holographic interferometry in real time. Aviation-Space Tech Technol. 2011;85:51–6.Search in Google Scholar
13. Bradski G, Kaehler A. Learning open CV: Computer vision with the open CV library. New York: O’Reily Media Group; 2008.Search in Google Scholar
14. Bystrov ND, Zhuzhukin AI. Speckle interferometry in the investigation of large-size turbine engine structures vibration. Procedia Eng. 2017;176:471–5. https://doi.org/10.1016/j.proeng.2017.02.346.10.1016/j.proeng.2017.02.346Search in Google Scholar
15. Kostyuk AG. Dynamics and strength of turbines. Moscow: Mashinostroenie Press; 1982.Search in Google Scholar
16. Vorobiev YS. Vibration of the turbine blades systems. Kiev: Naukova Dumka Press; 1988.Search in Google Scholar
17. Sosunov VA, Chepkin VM. The theory, calculation and design of the aircraft engines. Moscow: Moscow Energetic Institute Press; 2003.Search in Google Scholar
18. Pyhalov AA, Milov AE. Static and dynamic analysis of the turbine rotors assemblies. Irkutsk: Irkutsk Technical. University Press; 2007.Search in Google Scholar
19. Morhun S. The influence of the blade feather constructional inhomogeneity on the turbine cooling blades stress-strain state. Eastern-European J Enterp Technol Ser: Appl Mech. 2018;2/7:11–17. https://doi.org/10.15587/1729-4061.2018.125937.10.15587/1729-4061.2018.125937Search in Google Scholar
20. MorhunS. Gas turbine impellers free vibration study using the FEM analysis. Strength MaterTheory Struct. 2019;102:69–76. https://doi.org10.32347/2410-2547.2019.102.69-76.10.32347/2410-2547.2019.102.69-76Search in Google Scholar
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Articles in the same Issue
- Frontmatter
- Original Research Articles
- Novel Closed-Form Equation for Critical Pressure and Optimum Pressure Ratio for Turbojet Engines
- Development of Combustor for a Hybrid Turbofan Engine
- A Parametric Study of Hydrogen Fuel Effects on Exergetic, Exergoeconomic and Exergoenvironmental Cost Performances of an Aircraft Turbojet Engine
- A Model Reference Adaptive Sliding Mode Control Method for Aero-Engine
- Numerical Study of Mixing Enhancement in 2D Supersonic Ejector
- Flow Development Through An S-Shaped Diffusing Duct
- Nozzle Geometry Effect on Twin Jet Flow Characteristics
- Application of Proper Orthogonal Decomposition Method in Unsteady Flow Field Analysis of Axial High Bypass Fan
- A Research on Aero-engine Control Based on Deep Q Learning
- Blade Number Selection for a Splittered Mixed-Flow Compressor Impeller Using Improved Loss Model
- Study of Correctly Expanded Sonic Jet with Air Tabs
- Large-Eddy Simulation of Shaped Hole Film Cooling with the Influence of Cross Flow
- Modal Analysis of the Axial Compressor Blade: Advanced Time-Dependent Electronic Interferometry and Finite Element Method
- Exergy Analysis of a Turboprop Engine at Different Flight Altitude and Speeds Using Novel Consideration
- Thermal Optimization Design of Heat Exchanger in Supersonic Engine with Parameters’ Fluctuation
Articles in the same Issue
- Frontmatter
- Original Research Articles
- Novel Closed-Form Equation for Critical Pressure and Optimum Pressure Ratio for Turbojet Engines
- Development of Combustor for a Hybrid Turbofan Engine
- A Parametric Study of Hydrogen Fuel Effects on Exergetic, Exergoeconomic and Exergoenvironmental Cost Performances of an Aircraft Turbojet Engine
- A Model Reference Adaptive Sliding Mode Control Method for Aero-Engine
- Numerical Study of Mixing Enhancement in 2D Supersonic Ejector
- Flow Development Through An S-Shaped Diffusing Duct
- Nozzle Geometry Effect on Twin Jet Flow Characteristics
- Application of Proper Orthogonal Decomposition Method in Unsteady Flow Field Analysis of Axial High Bypass Fan
- A Research on Aero-engine Control Based on Deep Q Learning
- Blade Number Selection for a Splittered Mixed-Flow Compressor Impeller Using Improved Loss Model
- Study of Correctly Expanded Sonic Jet with Air Tabs
- Large-Eddy Simulation of Shaped Hole Film Cooling with the Influence of Cross Flow
- Modal Analysis of the Axial Compressor Blade: Advanced Time-Dependent Electronic Interferometry and Finite Element Method
- Exergy Analysis of a Turboprop Engine at Different Flight Altitude and Speeds Using Novel Consideration
- Thermal Optimization Design of Heat Exchanger in Supersonic Engine with Parameters’ Fluctuation