Signal and Harmonic Analysis of a Compressor Blade for Identification of the Nonlinear Frequency Vibration
High-speed turbomachine can experience significant centrifugal and gas bending loads. As a result, the compressor blades must be able to resist high-frequency oscillations due to surge or stall condition in flow field dynamics. In this paper, vibration characteristics of the 6th stage blade compressor have been examined in detail with, using 3-D finite element (FE) methods. The primary aim of this article is to gain an understanding of nonlinear vibration induced in the blade against different loading conditions. The results indicate the nonlinear behavior of the blade as a result of the amplitude of resonances or material properties. Since one of the leading causes of turbine blade failure is high cycle fatigue, simulations were started by specifying the stress distribution in the blade due to the centrifugal rotation. Next, resonant frequencies and critical speeds of the blade were defined by modal analysis. Finally, the harmonic analysis was simulated on the blades.
[1] Arzina, Dina. "Vibration analysis of compressor blade tip-rubbing." (2011).
[2] Torkamandi S, Asadi F, Payganeh G. Increase of Fatigue on Piston and Connecting Rod in Using Supercharger. InAdvanced Materials Research 2013 (Vol. 622, pp. 1243-1247). Trans Tech Publications Ltd.
[3] Torkamandi S, Asadi F, Payganeh G. Supercharger of Engine without Time Delay. InAdvanced Materials Research 2013 (Vol. 622, pp. 1231-1235). Trans Tech Publications Ltd.
[4] Husband JB. Developing an efficient FEM structural simulation of a fan blade off test in a turbofan jet engine (Doctoral dissertation, University of Saskatchewan).
[5] Singh MP, Vargo JJ, Schiffer DM, Dello JD. Safe Diagram-A Design And Reliability Tool For Turbine Blading. InProceedings of the 17th Turbomachinery Symposium 1988. Texas A&M University. Turbomachinery Laboratories.
[6] Asadi F, Sadati SH. Investigation of Improved Chaotic Signal Tracking by Echo State Neural Networks and Multilayer Perceptron via Training of Extended Kalman Filter Approach.
[7] Asadi F, Mollakazemi M, Ghafouri A. The influence of parameters of modeling and data distribution for optimal condition on locally weighted projection regression method. Accepted and oral presentation in ICMSE. 2014:27-8.
[8] Naeem MT, Jazayeri SA, Rezamahdi N, Toosi KN. Failure analysis of gas turbine blades. Inproceedings of the 2008 IAJC-IJME international conference. ISBN 2008 (pp. 978-1).
[9] Hou J, Wicks BJ. Root flexibility and untwist effects on vibration characteristics of a gas turbine blade. Defence Science and Technology Organization Victoria (Australia) Platform Sciences Lab; 2002 Nov.
[10] Asadi F, Mollakazemi MJ. Investigation on Performance of Change Point Algorithm in Time Series Dynamical Regimes and Effect of Data Characteristics. World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering. 2015 Jan 1;8(10):1787-93.
[11] Asadi F, Mollakazemi MJ, Ghiasi S, Sadati SH. Enhancement of life-threatening arrhythmia discrimination in the intensive care unit with morphological features and interval feature extraction via random forest classifier. In2016 Computing in Cardiology Conference (CinC) 2016 Sep 11 (pp. 57-60). IEEE.
[12] Mollakazemi MJ, Asadi F, Ghiasi S, Sadati SH. Applying quality index criterion for flexible multi-detection of heartbeat using features of multimodal data. In2016 Computing in Cardiology Conference (CinC) 2016 Sep 11 (pp. 1065-1068). IEEE.
[13] Asadi F, Khorram M, Moosavian SA. CPG-based gait transition of a quadruped robot. In2015 3rd RSI International Conference on Robotics and Mechatronics (ICROM) 2015 Oct 7 (pp. 210-215). IEEE.
[14] Asadi F, Khorram M, Moosavian SA. CPG-based gait planning of a quadruped robot for crossing obstacles. In2015 3rd RSI International Conference on Robotics and Mechatronics (ICROM) 2015 Oct 7 (pp. 216-222). IEEE.
[15] Forbes GL, Randall RB. Simulated gas turbine casing response to rotor blade pressure excitation. InProceedings of the 5th Australasian Congress on Applied Mechanics 2007 (p. 414). Engineers Australia.
[16] Legrand M, Batailly A, Magnain B, Cartraud P, Pierre C. Full three-dimensional investigation of structural contact interactions in turbomachines. Journal of Sound and Vibration. 2012 May 21;331(11):2578-601.
[17] LaGraff JE, Ashpis DE, Oldfield ML, Gostelow JP. Minnowbrook V: 2006 Workshop on Unsteady Flows in Turbomachinery.(Conference Abstracts).
[18] Ma H, Wang D, Tai X, Wen B. Vibration response analysis of blade-disk dovetail structure under blade tip rubbing condition. Journal of Vibration and Control. 2017 Feb;23(2):252-71.
[19] Batailly A, Legrand M, Millecamps A, Garcin F. Conjectural bifurcation analysis of the contact-induced vibratory response of an aircraft engine blade. Journal of Sound and Vibration. 2015 Jul 21;348:239-62.
[20] Yuan H, Kou H. Contact-impact analysis of a rotating geometric nonlinear plate under thermal shock. Journal of Engineering Mathematics. 2015 Feb 1;90(1):119-40.
[21] Asadi F, Mollakazemi MJ, Atyabi SA, Uzelac IL, Ghaffari A. Cardiac arrhythmia recognition with robust discrete wavelet-based and geometrical feature extraction via classifiers of SVM and MLP-BP and PNN neural networks. In2015 Computing in Cardiology Conference (CinC) 2015 Sep 6 (pp. 933-936). IEEE.
[1] Arzina, Dina. "Vibration analysis of compressor blade tip-rubbing." (2011).
[2] Torkamandi S, Asadi F, Payganeh G. Increase of Fatigue on Piston and Connecting Rod in Using Supercharger. InAdvanced Materials Research 2013 (Vol. 622, pp. 1243-1247). Trans Tech Publications Ltd.
[3] Torkamandi S, Asadi F, Payganeh G. Supercharger of Engine without Time Delay. InAdvanced Materials Research 2013 (Vol. 622, pp. 1231-1235). Trans Tech Publications Ltd.
[4] Husband JB. Developing an efficient FEM structural simulation of a fan blade off test in a turbofan jet engine (Doctoral dissertation, University of Saskatchewan).
[5] Singh MP, Vargo JJ, Schiffer DM, Dello JD. Safe Diagram-A Design And Reliability Tool For Turbine Blading. InProceedings of the 17th Turbomachinery Symposium 1988. Texas A&M University. Turbomachinery Laboratories.
[6] Asadi F, Sadati SH. Investigation of Improved Chaotic Signal Tracking by Echo State Neural Networks and Multilayer Perceptron via Training of Extended Kalman Filter Approach.
[7] Asadi F, Mollakazemi M, Ghafouri A. The influence of parameters of modeling and data distribution for optimal condition on locally weighted projection regression method. Accepted and oral presentation in ICMSE. 2014:27-8.
[8] Naeem MT, Jazayeri SA, Rezamahdi N, Toosi KN. Failure analysis of gas turbine blades. Inproceedings of the 2008 IAJC-IJME international conference. ISBN 2008 (pp. 978-1).
[9] Hou J, Wicks BJ. Root flexibility and untwist effects on vibration characteristics of a gas turbine blade. Defence Science and Technology Organization Victoria (Australia) Platform Sciences Lab; 2002 Nov.
[10] Asadi F, Mollakazemi MJ. Investigation on Performance of Change Point Algorithm in Time Series Dynamical Regimes and Effect of Data Characteristics. World Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering. 2015 Jan 1;8(10):1787-93.
[11] Asadi F, Mollakazemi MJ, Ghiasi S, Sadati SH. Enhancement of life-threatening arrhythmia discrimination in the intensive care unit with morphological features and interval feature extraction via random forest classifier. In2016 Computing in Cardiology Conference (CinC) 2016 Sep 11 (pp. 57-60). IEEE.
[12] Mollakazemi MJ, Asadi F, Ghiasi S, Sadati SH. Applying quality index criterion for flexible multi-detection of heartbeat using features of multimodal data. In2016 Computing in Cardiology Conference (CinC) 2016 Sep 11 (pp. 1065-1068). IEEE.
[13] Asadi F, Khorram M, Moosavian SA. CPG-based gait transition of a quadruped robot. In2015 3rd RSI International Conference on Robotics and Mechatronics (ICROM) 2015 Oct 7 (pp. 210-215). IEEE.
[14] Asadi F, Khorram M, Moosavian SA. CPG-based gait planning of a quadruped robot for crossing obstacles. In2015 3rd RSI International Conference on Robotics and Mechatronics (ICROM) 2015 Oct 7 (pp. 216-222). IEEE.
[15] Forbes GL, Randall RB. Simulated gas turbine casing response to rotor blade pressure excitation. InProceedings of the 5th Australasian Congress on Applied Mechanics 2007 (p. 414). Engineers Australia.
[16] Legrand M, Batailly A, Magnain B, Cartraud P, Pierre C. Full three-dimensional investigation of structural contact interactions in turbomachines. Journal of Sound and Vibration. 2012 May 21;331(11):2578-601.
[17] LaGraff JE, Ashpis DE, Oldfield ML, Gostelow JP. Minnowbrook V: 2006 Workshop on Unsteady Flows in Turbomachinery.(Conference Abstracts).
[18] Ma H, Wang D, Tai X, Wen B. Vibration response analysis of blade-disk dovetail structure under blade tip rubbing condition. Journal of Vibration and Control. 2017 Feb;23(2):252-71.
[19] Batailly A, Legrand M, Millecamps A, Garcin F. Conjectural bifurcation analysis of the contact-induced vibratory response of an aircraft engine blade. Journal of Sound and Vibration. 2015 Jul 21;348:239-62.
[20] Yuan H, Kou H. Contact-impact analysis of a rotating geometric nonlinear plate under thermal shock. Journal of Engineering Mathematics. 2015 Feb 1;90(1):119-40.
[21] Asadi F, Mollakazemi MJ, Atyabi SA, Uzelac IL, Ghaffari A. Cardiac arrhythmia recognition with robust discrete wavelet-based and geometrical feature extraction via classifiers of SVM and MLP-BP and PNN neural networks. In2015 Computing in Cardiology Conference (CinC) 2015 Sep 6 (pp. 933-936). IEEE.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:80111", author = "Farhad Asadi and Gholamhasan Payganeh", title = "Signal and Harmonic Analysis of a Compressor Blade for Identification of the Nonlinear Frequency Vibration ", abstract = "High-speed turbomachine can experience significant centrifugal and gas bending loads. As a result, the compressor blades must be able to resist high-frequency oscillations due to surge or stall condition in flow field dynamics. In this paper, vibration characteristics of the 6th stage blade compressor have been examined in detail with, using 3-D finite element (FE) methods. The primary aim of this article is to gain an understanding of nonlinear vibration induced in the blade against different loading conditions. The results indicate the nonlinear behavior of the blade as a result of the amplitude of resonances or material properties. Since one of the leading causes of turbine blade failure is high cycle fatigue, simulations were started by specifying the stress distribution in the blade due to the centrifugal rotation. Next, resonant frequencies and critical speeds of the blade were defined by modal analysis. Finally, the harmonic analysis was simulated on the blades.
", keywords = "Nonlinear vibration, modal analysis, resonance, frequency response, compressor blade.", volume = "14", number = "12", pages = "644-11", }
