FEM Modeling of Electromechanical Impedance for the Analysis of Smart Damping Treatments

2007 ◽  
pp. 129-134
Author(s):  
C. P. Providakis ◽  
M. E. Voutetaki ◽  
M. E. Stauroulaki ◽  
D.- P. N. Kontoni
Keyword(s):  
Fem Modeling ◽  
Electromechanical Impedance ◽  
Damping Treatments

Comparisons of smart damping treatments based on FEM modeling of electromechanical impedance

2008 ◽  
Vol 4 (1) ◽  
pp. 35-46 ◽  
Author(s):  
C.P. Providakis ◽  
D.P.N. Kontoni ◽  
M.E. Voutetaki ◽  
M.E. Stavroulaki
Keyword(s):  
Fem Modeling ◽  
Electromechanical Impedance ◽  
Damping Treatments

Finite-Element Modeling and Quantitative Measurement Using Scanning Microwave Microscopy to Characterize Dielectric Films

2018 ◽  
Author(s):  
K. A. Rubin ◽  
W. Jolley ◽  
Y. Yang
Keyword(s):  
Thin Films ◽  
Dielectric Film ◽  
Dielectric Constants ◽  
Dielectric Films ◽  
Silicon Substrates ◽  
Fem Modeling ◽  
Dielectric Thin Films ◽  
Microwave Microscopy ◽  
Scanning Microwave Microscopy ◽  
Low K

Abstract Scanning Microwave Impedance Microscopy (sMIM) can be used to characterize dielectric thin films and to quantitatively discern film thickness differences. FEM modeling of the sMIM response provides understanding of how to connect the measured sMIM signals to the underlying properties of the dielectric film and its substrate. Modeling shows that sMIM can be used to characterize a range of dielectric film thicknesses spanning both low-k and medium-k dielectric constants. A model system consisting of SiO2 thin films of various thickness on silicon substrates is used to illustrate the technique experimentally.

Microstructure-Based FEM Modeling of Phase Transformation During Quenching of Large-Size Steel Forgings

2021 ◽  
Vol 52 (5) ◽  
pp. 1883-1900
Author(s):  
Yassine Bouissa ◽  
Muftah Zorgani ◽  
Davood Shahriari ◽  
Henri Champliaud ◽  
Jean-Benoit Morin ◽  
...  
Keyword(s):  
Phase Transformation ◽  
Fem Modeling ◽  
Large Size

Comparison of damping treatments for gas turbine blades

1996 ◽  
Author(s):  
Robert W. Gordon ◽  
Joseph J. Hollkamp
Keyword(s):  
Gas Turbine ◽  
Turbine Blades ◽  
Gas Turbine Blades ◽  
Damping Treatments

Identification of Bearing Coefficients of Flexible Rotor-Bearing Systems

2000 ◽  
Author(s):  
Tachung Yang ◽  
Wei-Ching Chaung
Keyword(s):  
Industrial Applications ◽  
Operating Conditions ◽  
Least Square ◽  
Flexible Rotor ◽  
Fem Modeling ◽  
Identification Method ◽  
Reaction Forces ◽  
Manufacturing Assembly ◽  
Stiffness And Damping

The accuracy of stiffness and damping coefficients of bearings is critical for the rotordynamic analysis of rotating machinery. However, the influence of bearings depends on the design, manufacturing, assembly, and operating conditions of the bearings. Uncertainties occur quite often in manufacturing and assembly, which causes the inaccuracy of bearing predictions. An accurate and reliable in-situ identification method for the bearing coefficients is valuable to both analyses and industrial applications. The identification method developed in this research used the receptance matrices of flexible shafts from FEM modeling and the unbalance forces of trial masses to derive the displacements and reaction forces at bearing locations. Eight bearing coefficients are identified through a Total Least Square (TLS) procedure, which can handle noise effectively. A special feature of this method is that it can identify bearing coefficients at a specific operating speed, which make it suitable for the measurement of speed-dependent bearings, like hydrodynamic bearings. Numerical validation of this method is presented. The configurations of unbalance mass arrangements are discussed.

Evaluation of osmotic energy extraction via FEM modeling and exploration of PRO operational parameter space

Desalination ◽  
2017 ◽  
Vol 401 ◽  
pp. 120-133 ◽  
Author(s):  
Abraham Sagiv ◽  
Wenyan Xu ◽  
Panagiotis D. Christofides ◽  
Yoram Cohen ◽  
Raphael Semiat
Keyword(s):  
Parameter Space ◽  
Energy Extraction ◽  
Fem Modeling ◽  
Operational Parameter
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