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ABSTRACT: In this paper we present the model based design optimization on a micromechanical system which is described by a VHDL-AMS behaviour model, based on the Cosserat theory. The application is a gyroscope test structure developed by STMicroelectronics. The schematic of the microactuator is built up from component models developed in Lancaster within previous work. The equations of motion of the beam model were derived using Cosserat theory. The rigid body model was adjusted to capture the behaviour of the central disk with comb-drives of the microactuator target structure. Within the model based design optimization system MODOS developed at the University of Bremen a model optimization and a model based design optimization were performed. In this report we represent the theoretical background of the modeling and optimization process and publish the received results.
Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on; 06/2008
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ABSTRACT: Material sheet production speed and precision has increased in the former decades. This is partly due to improved monitoring of production process core data. Critical data in this respect are the material's edge position and the mass per unit area over the material's width. This paper demonstrates a new design that allows full monitoring of the whole material without moving parts. A model for this system, the multi electrode ionisation chamber (MEIC) is presented.
Design, Test, Integration and Packaging of MEMS/MOEMS 2003. Symposium on; 06/2003
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ABSTRACT: Medical Test Strips made from plastics can provide a cheap and reliable analysis of body liquids. The underlying microsystem contains structured micro-channels to adjust the filling time as an important parameter for chemical reactions. Columns or lamellae of some μm dimensions are placed in the channel to define the fluidic resistance, which is influenced by the pitch between these structure elements as well as by their shape. As no analytic solution exists to describe the microfluidic interaction, the authors have been following approaches based on discrete partial differential equations and behavioural descriptions to obtain a simulation model. Model-based optimization has been performed to get useful sets of parameters to be handed to the industrial partner for manufacturing and therefore verification of the calculated results.
Design, Test, Integration and Packaging of MEMS/MOEMS 2003. Symposium on; 06/2003
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ABSTRACT: A parameter identification method for a macro model of hysteresis phenomena is illustrated. The chosen model is based on the theory due to Jiles and Atherton. In contrast to the Jiles-Atherton model (JA) the here chosen model does not show the JA's problems with the frequency dependence of the coercivity. A methodology well known from modeling electronic circuits has been chosen to utilize the illustrated model for the simulation of hard magnetic core materials applying parameter extraction methods based on parametric optimization.
Design, Test, Integration and Packaging of MEMS/MOEMS 2003. Symposium on; 06/2003
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ABSTRACT: A method will be presented which is suitable to calculate the overall and partial capacitances of two rectangularly shaped conductors over a three-layered material. It is based on the complex image method. The solution for the determination of the necessary exponential terms used by the complex image method is shown. The terms are calculated using an iterative approach which will be compared with a previous method. The complex images are used to calculate the partial capacitances of the desired structures. The used structure consists of a three-layered material underneath the conductors but a multi-layered material can also be modelled. The method which has to be used in the case of a multi-layered material will also be presented.
Design, Test, Integration and Packaging of MEMS/MOEMS 2003. Symposium on; 06/2003
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ABSTRACT: Model based design optimization is becoming a very important task.
The continuous reduction of technologically realizable dimensions leads
to growing coupling and interaction between system parameters. The
complexity of microand future nanosystems is growing permanently while
production parameters are subject to fluctuations. In order to take.
advantage of the new technologies strengths the development process
needs to be supported by sophisticated optimization tools like the one
presented in this work
Circuits and Systems, 2000. Proceedings of the 43rd IEEE Midwest Symposium on; 02/2000
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ABSTRACT: Due to the scaling of microelectronic as well as for example
mechanical, optical or fluidic microsystems and their devices the
complexity of these systems and the number of design variables is
increasing constantly. In consequence of this tendency the exploration
of the design space cannot be handled manually anymore and therefore
automated design optimization is becoming an extremely important task in
the development process. Suitable optimization strategies have to be
chosen for this task and since the evaluation time of the objective
function is very large, these algorithms have to be adopted in such a
way that they avoid unnecessary calls to the objective function. A
method derived from the well known barrier function approach is
presented which omits calculations of the objective function at points
that do not tend to deliver better results than the ones already
obtained
Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on; 10/1999
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ABSTRACT: This paper presents an automatic approach for evaluating behavioral models of micro systems' components. Op-timization methods are applied aiming at the specification of a model's scope of application. The method is presented by eval-uating a behavioral model of a capacitive pressure sensor. The model incorporates a new approach for the calculation of the sen-sor's bending line. It considers small as well as large deflections.
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ABSTRACT: Membrane structures are one of the most common elements in microsystems. In order to perform system simulations, behavioral models of their bending lines have to be developed. These models may also be used as a basis for parameter extractions, which is a crucial task in the development of microsystems. But parameter extractions can only be performed, if the models used include all of the most important physical effects. Hence the physical basis of these models has to be very profound.Usually a distinction is made between small and large deflections [Engineering Mechanics Series, 2nd ed. (1959)] and only one of these cases is taken into consideration in today's behavioral models of membrane structures. Since some systems' range of operation includes both kinds of deflection, models are needed which take both cases into account. The paper presents the theoretical basis for this task. The solution is partially based on the results of [J. Microelectromech. Syst. 4 (4) (1995) 238] and the behavioral model only calls for one heuristic parameter that was introduced in [Int. Conf. Model. Simul. Microsyst. Puerto Rico, 1 (1999) 237]. All the other quantities are purely physical parameters. Evaluations of this model have been done using measured data of a capacitive pressure sensor. Finally design optimizations could be carried out in order to increase the sensor's sensitivity as much as possible.
Microelectronics Journal.
