The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This work presents the application of mathematical methods of model order reduction for automatic generation of highly accurate and compact models of strongly coupled thermo-mechanical machine tool model. In the further step, the reduced model is imported into the system-level simulation. Based on the accurate reduced order model, a cascade controller is implemented to monitor and compensate the thermally...
This work presents an optimization strategy towards extending the operational frequency range of piezoelectric MEMS energy harvesting devices. We propose to use coupled micromechanical resonators to enable efficient energy harvesting at multiple frequencies with a single device. The proposed design, obtained by optimization algorithms, exhibits closely spaced eigenfrequencies with equal power delivery.
This work presents a general simulation approach for all relevant physical effects in electro-optical circuit boards. Such printed circuit boards integrate electrical components and connections together with optical wave-guides as signal lines for applications in data transmission and sensing. The proposed modelling approach includes a calculation of heat distribution based on convective cooling and...
This work presents the application of mathematical methods of parametric model order reduction (pMOR) for automatic generation of the highly accurate, parametric compact models of radio-frequency micro-devices. More specifically, the miniaturized Faraday-induction-based magnetic resonance sensor is considered. Unlike conventional approaches, when magnetic resonance sensor is represented by a lumped-element-based...
In this work, we present an automatized, computationally efficient and stable compact modeling technique for a large-scale multiport model of MEMS based piezoelectric energy harvester. The method includes structure preserving model order reduction based on Krylov subspaces. We further demonstrate a co-simulation between the reduced harvester model and the power circuitry.
In this work, we present a computationally efficient model order reduction technique for a large-scale multiport model of piezoelectric energy harvester. This novel technique generates stable reduced order models. The method combines model reduction based on Krylov subspaces and a Schur complement transformation of the resulting system. We demonstrate an excellent match between the full-scale and...
This paper proposes a novel modeling methodology for MEMS-based piezoelectric vibration energy harvesting systems. The approach is based on coupling of the reduced order model and the power circuitry. A numerically accurate reduced order model of the harvester was connected to a synchronized switch harvesting on inductor scheme and optimized subsequently. The harvester output voltage was increased...
In this paper we demonstrate a system-level simulation of a temperature controlled microsystem which is based on a reduced order model of a micro hotplate. Together with the electro-thermal microstructure we have implemented a control scheme, which allows the hotplate to operate either at a defined setpoint independent of ambient temperature or to follow defined temperature sweeps. An optimization...
In this paper we present a novel highly efficient approach to determine material properties from measurement results. We apply our method to thermal properties of thin-film multilayers with three different materials, amorphous silicon, silicon-nitride and silicon-oxide. The individual material properties are identified by solving an optimization problem. For this purpose, we build a parameterized...
In this paper we present a novel approach to determine material thermal properties of thin film materials. As a test case we have chosen silicon nitride employed in a micro-hotplate structure. We use ANSYS to build a three-dimensional finite element (FE) model of the test structure, which considers heat conduction and convection effects. It is further parameterized and subjected to parametric model...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.