scholarly journals Piezoelectric Two Layer Plate for Position Stabilization

2012 ◽  
Author(s):  
Martin Krause ◽  
Daniel Steinert ◽  
Eric Starke ◽  
Uwe Marschner ◽  
Günther Pfeifer ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Simulation ◽  
Network Model ◽  
Inertial Frame ◽  
System Simulation ◽  
Simulation And Optimization ◽  
Laboratory Setup ◽  
Element Simulation ◽  
Rigid Connection ◽  
Simulation Results

Numerous vibrating electromechanical systems miss a rigid connection to the inertial frame. An artificial inertial frame can be generated by a shaker which compensates for vibrations. In this paper we present an encapsulated and perforated unimorph bending plate for this purpose. As basis for system simulation and optimization a new 3-port multi domain network model was derived. An extension of the network allows the simulation of the acoustical behavior inside the capsule. Network parameters are determined using Finite Element simulations. The dynamic behavior of the network model agrees with the Finite Element simulation results up to the first resonance of the system. The network model was verified by measurements on a laboratory setup, too.

Finite element simulation and optimization design of biodegradable seedling pot

2015 ◽  
pp. 223-226
Author(s):  
Xing-Dong Liu ◽  
Shu-Jun Li ◽  
Lu-Jia Han ◽  
Quan-Rong Jing ◽  
Dao-Yi Li ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Simulation ◽  
Optimization Design ◽  
Simulation And Optimization ◽  
Element Simulation

Simulation research on low frequency sound absorption of monostable metamaterials

2021 ◽  
Vol 263 (6) ◽  
pp. 648-652
Author(s):  
Tuo Xing ◽  
Xianhui Li ◽  
Xiaoling Gai ◽  
Zenong Cai ◽  
Xiwen Guan
Keyword(s):  
Magnetic Field ◽  
Finite Element ◽  
Theoretical Model ◽  
Finite Element Simulation ◽  
Sound Absorption ◽  
Magnetic Force ◽  
Low Frequency ◽  
Low Frequencies ◽  
Element Simulation ◽  
Simulation Results

The monostable acoustic metamaterial is realized by placing a flexible panel with a magnetic proof mass in a symmetric magnetic field. The theoretical model of monostable metamaterials has been proposed. The method of finite element simulation is used to verify the theoretical model. The magnetic force of the symmetrical magnetic field is simplified as the relationship between force and displacement, acting on the mass. The simulation results show that as the external magnetic force increases, the peak sound absorption shifts to low frequencies. The theoretical and finite element simulation results are in good agreement.

Optimization and performance analysis of magnetorheological fluid damper considering different piston configurations

2019 ◽  
Vol 30 (5) ◽  
pp. 764-777 ◽  
Author(s):  
Song-lin Nie ◽  
De-kui Xin ◽  
Hui Ji ◽  
Fang-long Yin
Keyword(s):  
Finite Element ◽  
Finite Element Simulation ◽  
Structural Parameters ◽  
Magnetorheological Fluid ◽  
Magnetorheological Damper ◽  
Magnetorheological Dampers ◽  
Magnetorheological Fluid Damper ◽  
Element Simulation ◽  
Fluid Damper ◽  
Simulation Results

This article presents the design and multi-physics coupling analysis of a shear-valve-mode magnetorheological fluid damper with different piston configurations. The finite element model is built to study the effects of the shape of the piston slot and magnetism-insulators at both ends of the piston yoke on the performance of the magnetorheological damper. Particle swarm optimization and finite element simulation are combined to optimize the structural parameters of the magnetorheological damper. The influences of different piston configurations on the magnetic flux density in the working gap, the shear stress, the viscous stress, and the dynamic range are investigated. The simulation results reveal that the magnetorheological damper, in which the corners of the piston slot are chamfered and the edges of the magnetism-insulators are filleted, exhibits a better damping performance. Furthermore, magnetorheological dampers with and without magnetism-insulators are fabricated. The influences of control current, displacement, and velocity on the mechanical performance of the magnetorheological dampers are experimentally investigated, and the experiment results are in accordance with the theoretical derivation and finite element simulation results.

Packaging Induced Die Stress Characterization Using van der Pauw Sensors Between −180°C and 80°C

2014 ◽  
Vol 2014 (1) ◽  
pp. 000483-000487
Author(s):  
Uday S. Goteti ◽  
Francy J. Akkara ◽  
Richard C. Jaeger ◽  
Michael C. Hamilton ◽  
Jeffrey C. Suhling
Keyword(s):  
Finite Element ◽  
Finite Element Simulation ◽  
Temperature Effects ◽  
Temperature Range ◽  
Stress Sensors ◽  
Element Simulation ◽  
Die Stress ◽  
Simulation Results ◽  
Van Der Pauw

Packaging-induced die-stresses due to temperature effects on various materials of the package are characterized using piezoresistive van der Pauw stress sensors over a temperature range of −180° C to 80° C. Piezo-resistive coefficients extracted previously are then used to obtain a mapping between change in resistance and corresponding stress at all tested temperatures. The obtained values of stress are compared with finite element simulation results.

Effects of Imperfections on Bifurcation of Multi-Layer Microstructures of MEMS under Thermal Loading

2007 ◽  
Vol 339 ◽  
pp. 276-280
Author(s):  
Y.T. Yu ◽  
Wei Zheng Yuan ◽  
D.Y. Qiao
Keyword(s):  
Finite Element ◽  
Thermal Expansion ◽  
Finite Element Simulation ◽  
Thermal Loading ◽  
Coefficient Of Thermal Expansion ◽  
Element Simulation ◽  
Simulation Results ◽  
Structural Bifurcation

Bifurcation of multi-layer microstructures subjected to thermal loading can be harmful for reliability and stability of MEMS structures. In this paper, three imperfections of geometry, coefficient of thermal expansion and thermal loading were introduced to investigate their effects on structural bifurcation by finite element simulation. Results show that bifurcation is strongly influenced by the imperfections. With larger deviation of imperfections, it results in a decreasing temperature to trigger the bifurcation and a gradual beginning of it.

scholarly journals Inversion prediction of back propagation neural network in collision analysis of anti-climbing device

2020 ◽  
Vol 12 (5) ◽  
pp. 168781402092205
Author(s):  
Yu-Ru Li ◽  
Tao Zhu ◽  
Zhao Tang ◽  
Shou-Ne Xiao ◽  
Jun-Ke Xie ◽  
...  
Keyword(s):  
Neural Network ◽  
Finite Element ◽  
Finite Element Simulation ◽  
Evaluation Method ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Prediction Errors ◽  
Collision Model ◽  
Element Simulation ◽  
Simulation Results

Targeting to improve the calculation efficiency of the finite element simulation, we introduce the back propagation neural network–based machine learning method to carry out the inversion prediction framework. The inversion collision model is established based on the inversion prediction framework. Then, the prediction results are compared with the finite element simulation results of the anti-climbing device to verify the feasibility of the inversion collision model. The average prediction errors of velocity, displacement, interface force, and internal energy of the anti-climbing device are 3.7%, 4.31%, 3.4%, and 1%, respectively, and the cost time of the inversion collision model is less than 5 min. The results show that the inversion collision model constructed by back propagation neural network can significantly improve the calculation efficiency and greatly reduce the calculation time under the condition of ensuring accuracy. It will provide a new evaluation method and possibility for partially replacing the required experimental and simulation results for the crashworthiness and the safety of the anti-climbing device.

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