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Published on: August 15, 2014
A Perturbation Method for the 3D Finite Element Modeling of Electrostatically Driven MEMS
Mohamed Boutaayamou1, Ruth V Sabariego2, Patrick Dular3
1Department of Electrical Engineering and Computer Science, Applied and Computational Electromagnetics (ACE), 1 University of Liège B-4000, Li`ege, Belgium. mboutaayamou@ulg.ac.be.
This paper introduces a finite element (FE) method for modeling electrostatically actuated microelectromechanical systems (MEMS). The novel perturbation approach enhances computational efficiency by solving problems in reduced domains, optimizing MEMS simulations.
Area of Science:
- * Computational Mechanics
- * Microelectromechanical Systems (MEMS)
Background:
- * Modeling electrostatic actuation in MEMS is crucial for device design and analysis.
- * Conventional finite element (FE) methods can be computationally intensive for complex MEMS geometries.
Purpose of the Study:
- * To present a novel finite element (FE) perturbation procedure for modeling electrostatically actuated MEMS.
- * To improve computational efficiency in simulating electrostatic field distortions caused by moving conductors.
Main Methods:
- * A two-step FE computation: solving an unperturbed problem in the complete domain, followed by a perturbation problem in a reduced region.
- * Utilizing the solution of the unperturbed problem as a source for the perturbation step.
- * Employing problem-adapted meshes for sub-problems solved in reduced domains.
Main Results:
- * The perturbation method allows for solving sub-problems in reduced domains, decreasing overall problem size.
- * Iterative computation may be required when the perturbing region is close to the original source field.
- * Demonstrates enhanced computational efficiency compared to conventional methods.
Conclusions:
- * The developed FE perturbation procedure offers a computationally efficient approach for modeling electrostatically actuated MEMS.
- * The method's ability to use reduced domains and adapted meshes significantly decreases computational load.

