Combining network models and FE-models for the simulation of electromechanical systems

Starke, Eric; Marschner, Uwe; Pfeifer, Günther; Fischer, Wolf‐Joachim; Flatau, Alison B.

doi:10.1117/12.885633

Cited by 7 publications

(7 citation statements)

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“…Network modeling can be combined with FEM modeling to reach synergetic effects by incorporating the strengths of each approach (Starke et al 2011); for example, FEM models can be used to validate the approximations made in the network model, or to extract needed parameters. Mehner et al (2015) describe the simulation of the closing behavior of a hydrogel valve using ANSYS.…”

Section: Discussionmentioning

confidence: 99%

Multiphysics equivalent circuit of a thermally controlled hydrogel microvalve

Voigt

Marschner

Richter

2017

Journal of Intelligent Material Systems and Structures

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Temperature-responsive hydrogels are polymer particles whose equilibrium size depends on the temperature of the water they are immersed in. Here we present an equivalent circuit model of a temperature-controlled microvalve based on hydrogel particles. The resulting network model consists of three physical subsystems. The thermal subsystem considers the heat capacities and thermal resistances of the layers of the valve and the coupling to the ambient environment. The polymeric subsystem describes the relaxation of the hydrogel particles to the temperature-dependent equilibrium size. The fluidic subsystem consists of the supply channel and a chamber whose cross section varies according to the size of the hydrogel particles. All subsystems are described and coupled within one single circuit. Thus the transient behavior of the valve can be calculated using a circuit simulator. Simulation results for a setup are presented and compared with experiments.

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Section: Discussionmentioning

confidence: 99%

Multiphysics equivalent circuit of a thermally controlled hydrogel microvalve

Voigt

Marschner

Richter

2017

Journal of Intelligent Material Systems and Structures

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“…26 using Finite-Element (FE) simulations to determine 795 the structures and parameters of the magnetic network. The method of deriving network parameters from FE-simulations is called Combined Simulation (Starke, 2009), (Starke et al, 2011). The network elements of the circuit in Fig.…”

Section: B) Combined Simulationmentioning

confidence: 99%

Equivalent circuit models of two-layer flexure beams with excitation by temperature, humidity, pressure, piezoelectric or piezomagnetic interactions

Marschner

Gerlach

Starke

et al. 2014

J. Sens. Sens. Syst.

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Two-layer flexure beams often serve as basic transducers in actuators and sensors. In this paper a generalized description of their stimuli-influenced mechanical behavior is derived. For small deflection angles this description includes a multi-port circuit or network representation with lumped elements for a beam part of finite length. A number of coupled finite beam parts model the dynamic behavior including the first natural frequencies of the beam. For piezoelectric and piezomagnetic interactions, reversible transducer models are developed. The piezomagnetic two-layer beam model is extended to include solenoid and planar coils. Linear network theory is applied in order to determine network parameters and to simplify the circuit representation. The resulting circuit model is the basis for a fast simulation of the dynamic system behavior with advanced circuit simulators and, thus, the optimization of the system. It is also a useful tool for understanding and explaining this multi-domain system through basic principles of general system theory.Published by Copernicus Publications on behalf of the AMA Association for Sensor Technology.

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“…The connection between the electrical and mechanical domains has been realized by the electromechanical transducer of the disk, which is represented by the lower left transducer in Figure 2. The remaining (upper) transducer describes the electroacoustic network approach for a piezoelectric unimorph bending plate, developed by Starke et al (2011a) and Prasad et al (2002). However, the existing models of Lenk et al or Starke et al (2011b) can only simulate electromechanical or electrical–acoustical interactions at a time.…”

Section: Approach For a Multi-domain Network Model Of The Stabilization Unitmentioning

confidence: 99%

Piezoelectric two-layer plate for position stabilization

Krause

Steinert

Starke

et al. 2014

Journal of Intelligent Material Systems and Structures

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Numerous vibrating electromechanical systems lack a rigid connection to the inertial frame. An artificial inertial frame can be generated by a shaker, which compensates for vibrations. In this article, we present an encapsulated and perforated unimorph bending plate for this purpose. Vibrations can be compensated up to the first eigenfrequency of the system. As basis for an efficient system simulation and optimization, a new three-port multi-domain network model was developed. An extension qualifies the network for 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. Furthermore, the network model could be simplified and was applied to determine the influence of various parameters on the stabilization performance of the plate transducer. The performance of the piezoelectric bending plate for position stabilization had been in addition investigated experimentally by measurements on a macroscopic capsule.

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Combining network models and FE-models for the simulation of electromechanical systems

Cited by 7 publications

References 0 publications

Multiphysics equivalent circuit of a thermally controlled hydrogel microvalve

Multiphysics equivalent circuit of a thermally controlled hydrogel microvalve

Equivalent circuit models of two-layer flexure beams with excitation by temperature, humidity, pressure, piezoelectric or piezomagnetic interactions

Piezoelectric two-layer plate for position stabilization

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