Jan Martinek, Ladislav Carbol · Advanced materials research · 2015
In ultrasonic testing the vibration spectrum must be understood and the measured frequency peaks should match specific sample characteristics. In this paper, the experimental data are compared with results obtained using modal analysis based on Finite Element Method and the vibration was also calculated using classical Euler-Bernoulli approach, which is very simple but somewhat limited. The specimen geometry as well as the material of choice are both very simple to predict, model and measure - i.e. round cross section metal rod. In this case the FEM gives slightly better result that the simplified analytical calculation.
Cited by 2
Ionel Nistor, Erwan Galenne · HAL (Le Centre pour la Communication Scientifique Directe) · 2009
Cited by 1
Elkahina Sari, Kamel Benachenhou, Salim Bennoud et al. · Research Square · 2026
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Besim Ben-Nissan, Ashrafi Hr, Peyman Beiranvand et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2018
International audience
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Raviraj Inamke, Dr. N. K. Nath, Dr. R. R. Arakerimath · Zenodo (CERN European Organization for Nuclear Research) · 2022
The Drop Arm is part of the steering component in a Tractor. It is connected to the sector shaft and moves in angular motion with the help of the sector shaft. This motion causes the wheels to move left or right, depending on which way the steering wheel is moved. It is important you have your drop arm in good working condition because poor steering can be hazardous to you and those around you. A performance study will be carried to perform Failure, Fatigue & Modal Analysis of pitman arm using Ansys. The structural optimization will be done on the drop arm by changing the structure of pitman arm by modifying the geometry where stress values are critical. The meshing and boundary conditions will be applied and analysis will be carried out using Ansys 16.0.
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Raviraj Inamke, Dr. N. K. Nath, Dr. R. R. Arakerimath · Zenodo (CERN European Organization for Nuclear Research) · 2022
The Drop Arm is part of the steering component in a Tractor. It is connected to the sector shaft and moves in angular motion with the help of the sector shaft. This motion causes the wheels to move left or right, depending on which way the steering wheel is moved. It is important you have your drop arm in good working condition because poor steering can be hazardous to you and those around you. A performance study will be carried to perform Failure, Fatigue & Modal Analysis of pitman arm using Ansys. The structural optimization will be done on the drop arm by changing the structure of pitman arm by modifying the geometry where stress values are critical. The meshing and boundary conditions will be applied and analysis will be carried out using Ansys 16.0.
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Raviraj Inamke, N. K. Nath, R. R. Arakerimath · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: The Drop Arm is part of the steering component in a Tractor. It is connected to the sector shaft and moves in angular motion with the help of the sector shaft. This motion causes the wheels to move left or right, depending on which way the steering wheel is moved. It is important you have your drop arm in good working condition because poor steering can be hazardous to you and those around you. A performance study will be carried to perform Failure, Fatigue & Modal Analysis of pitman arm using Ansys. The structural optimization will be done on the drop arm by changing the structure of pitman arm by modifying the geometry where stress values are critical. The meshing and boundary conditions will be applied and analysis will be carried out using Ansys 16.0. Keywords: Finite element analysis, Fatigue analysis, Modal analysis, Drop arm, FEM.
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K. Ravi, KUMAR P. NANDA, JANARDHANA G. RANGA · i-manager’s Journal on Future Engineering and Technology · 2019
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Séverine Lepage, Laurent Van Miegroet, Pierre Duysinx · Open Repository and Bibliography (University of Liège) · 2008
Manufacturing processes may leave substantial variability in the shape and geometry of devices, which leads to uncertainty in their performance and reliability. Therefore, in order to efficiently design high performance structures, the effects of these geometric variations have to be considered and a modeling methodology is needed to ensure required device performance under uncertainties. The purpose of this work is to develop a numerical method to analyze the effects of random shape variations on the structural natural frequencies using a probabilistic eXtended Finite Element Method (X-FEM [1]). The present work focuses on second moment approaches, in which the first two statistical moments, i.e. the mean and the variance, are estimated. For this purpose, three methods are compared: the Perturbation Stochastic Finite Element Method (PSFEM) [2], the spectral Stochastic Finite Element Method (SSFEM) [3] and Monte-Carlo method. While these methods have been extensively applied to the resolution of static problems in the literature, few studies have been carried out on their application to eigenproblems. Moreover, due to the nature of the random parameters, i.e. geometric, it is chosen to use an X-FEM approach. X-FEM is naturally associated with a Level Set [4] description of the geometry to provide an efficient treatment of problems involving complex random geometries. The description of the geometry is represented by the zero iso-contour of an implicit function called the Level Set function. This method is very convenient to model random shape variations of a structure. Random variables are shape parameters of basic geometric features which are described with a Level Set representation and/or the control points of the NURBS curves describing the Level Set. One main advantage of this formulation is that the number of random variables remains small. Moreover, X-FEM allows to avoid the remeshing of the structure, which is inevitable when using a classical FEM. X-FEM is advantageously used in conjunction with the three stochastic methods. First, the perturbation stochastic finite element method is used in order to determine the mean and the variance of natural frequencies. PSFEM consists in a deterministic analysis complemented by a sensitivity analysis with respect to the random parameters. In this framework, X-FEM combined with the Level Set geometry description permits an efficient computation of the structural matrix derivatives. Then, in SSFEM,
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Anis Shafiqah Azhar, Sakhiah Abdul Kudus, Adiza Jamadin et al. · Lecture notes in civil engineering · 2026
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Pavel Švancara · Digital Repository (National Repository of Grey Literature) · 2003
In this paper are dual modal formulation and Final Element Method (FEM) modal information used for evaluation of SEA parameter -coupling loss factor (CLF). Methodology is illustrated on example of L shaped thin steel plates and compared with numerical simulation of Power Injection Method on FE model and analytical solution.
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Madhavan Arugolanu, Naga Venkata Srinivas Borra, Venkata Ramesh Mamilla · Materials Today Proceedings · 2023
Cited by 1
Wei Wang, Junfeng Li, Tianshu Wang · Journal of Sound and Vibration · 2008
Cited by 23
Mohammad Zehsaz, Amin Paykani · 2012
Fixedcone (HowellBunger) valves have been in wide use for many years for flow control. These valves may face different types of damages and failures due to vibrational stresses during operation. In this study, a number of modal analyses of a HowellBunger (DN: 1000 mm) valve made by Mechanic AB Co, are conducted using the Finite Element Method (COSMOS/Works) and its natural frequencies with vibrational mode shapes in five cases including fullyopened, 20%, 40%,and 80 % opening conditions were determined, then, the dimensionless coefficient "Mercer " was obtained for the valve. The result showed that the operating point of the valve is the flow rate of16 m 3 /s and valve opening degree of 40%, in this case due to reinforcement resulted from moving shell, the structure strength against vibration increases and as a result, natural frequency increases as well.
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Marcio Vital Arruda, Edmilson Otoni Corrêa, Vanessa Bawden de Paula Macanhan · Research Square · 2022
Abstract Welding processes may cause undesirable residual stresses and their detection is possible using different methods. Some residual stress detection methods are destructive or semi-destructive, therefore not always applicable. Some methods are non-destructive, but complex and high cost. One possible non-destructive method to detect welding residual stresses, lower cost than the current techniques, is being studied by some researchers. This method is based in the phenomenon which a structure natural frequencies vary when welding residual stress is applied. It consists in measuring the structure natural frequencies after welding, and comparing them to natural frequency values considered ideal values obtained from finite element method simulation. However, the welding process simulation is not trivial; it implies at least four finite element analyses which can be executed in different manners. The aim of this study is to analyze which parameters can improve FE model performance for obtaining simulation results closer to experiments. In this study, five models were developed. It was observed that models using 2D shell elements generate better results than models using 3D solid elements. In addition, it was observed that the symmetry technique which can be used in plate simulations leads to significant lower computational times, but affect modal results and, in addition, do not generate natural frequency values for all vibrational modes; therefore, the symmetry technique should be avoided in this type of analysis. The birth and death technique, which simulates filler metal deposition, was also analyzed. Finally, this work proposes to use interpolation technique for the natural frequency values to evaluate the modal results variation due to welding residual stresses.
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Chao Liu, Dongxiang Jiang, Jie Chen · 2010
A wind turbine rotor system containing blades has its own characteristics. The vibration characteristics of blades with special airfoil can influence the vibration characteristics of the rotor system. This paper analyzed the vibration characteristics of a wind turbine rotor including blades with two-dimensional airfoil. The Finite Element Method (FEM) is applied to establish the rotor model, with the purpose that the FEM can adjust complex blades airfoils and acquire the details of the blades vibration characteristics. The modal characteristics are extracted based on the wind turbine model established in the laboratory. Using harmonic analysis of FEM, the excitation forces on the blades caused by the stochastic wind load are imposed on the rotor model and the stable response of the rotor system is calculated using ANSYS. Then the vibration characteristics are analyzed and the characteristics of the harmonic response are studied under different phases of the circumferential and axial forces.
Cited by 6
G. Suganthi, S. Karthikeyan, M. Kannan · AIP conference proceedings · 2022
A Multi-layered composite cylindrical shell made up of homogeneous isotropic piezoelectric and pyroelectric layer is considered for harmonic wave propagation and axisymmetric vibration respectively. The linear constitutive equations are developed based on coupled mechanical field, thermal field and electrical field. Six-noded isoparametric shape functions are used to model the shell structure. Frequency equations are derived for the thermally induced and traction free surfaces with continuity conditions using Galerkin approach. The damped frequencies are obtained in complex form (a+ib) for the different layer combinations like B/F/B and F/B/F under axisymmetric modes using Mat lab software. The numerical results are carried out for Barium Titanate (B) and Cobalt Ferrite (F) in the form of data. The dispersion curves are drawn for different modes in different stacking sequences. The accuracy and convergence are obtained by increasing the number of mesh elements in finite element analysis (FEM) are discussed.
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S. Chitsaz, Mir Mohammad Ettefagh · 2018
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Karlo Petrović, Danilo Dobrić, Ivan Gotić et al. · Energies · 2024
In this paper, the mode shapes of an empty and oil-filled transformer experimental model tank are obtained using 3D finite element method (FEM) modal analysis. For verification of the FEM analysis results, experimental modal analysis (EMA) is carried out in both cases using appropriate impact hammers and accelerometers. Simulated and measured results are visualized and compared for mode shapes in a frequency range of interest for both empty and oil-filled tanks. In order to avoid overly stiff FEM models of transformer tanks, the welded joint modeling technique is presented and analyzed in detail. For an oil-filled tank, the most accurate results are calculated in the model where the welded joint is modeled as half the tank wall’s thickness. In that case, the mean absolute error for the given ten-mode shapes is 1.7 Hz. Also, mesh sensitivity analysis is performed. It is concluded that a 10 mm maximum element size is an optimal solid (3D) mesh. However, shell mesh can be used to reduce computing requirements.
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Akira Okabe, Koki Shiohata, Takeshi Kudo et al. · TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C · 2010
Quasi-Modal technique is used for rotor-blade coupled torsional vibration analysis, because of its unique characteristics to provide a visual reduced model. In this paper we propose the hybrid method to calculate rotor-blade coupled torsional vibration of the model rotor of two disks with continuously coupled blades using FEM based quasi-modal parameters of blade-disk system. The result of hybrid method is compared with the full FEM analysis of the model rotor. The hybrid method shows the good accord with the full FEM analysis. This hybrid method has the advantage for faster design calculation repetition. The rotation test of model rotor is executed and measured results are compared with the calculated results to show the good accordance. The calibration procedure of modal parameters based on the measured blade-disk frequencies is also presented in order to show that the quasi-modal modeling is practicable method to feed back test results to analytical model for better accuracy.
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