Arch shaped microelectromechanical systems (MEMS) have been used as mechanical memories, micro-relays, micro-valves, optical switches, and digital micro-mirrors. A bi-stable structure is characterized by a multivalued load deflection curve. Here, the symmetry breaking, the snap-through instability, and the pullin instability of a sinusoidal shaped MEMS under static and dynamic electric loads ha...

Optical and nonlinear-optical properties of negativeindex nanocomposite as well as the feasibility of a design of novel photonic microdevices and all-optical data processing chips are numerically simulated. Keywords—Numerical simulation, nano materials and nanostructures, negative-index metamaterials, nanophotonics, nano and micro devices, all-optical switches, optical frequency narrow-band fil...

Due to preferential orientations of fibers, such as collagen or myocytes, the modeling of the mechanics of myocardial tissue leads to anisotropic and highly nonlinear material models. For micro-anatomically realistic geometries the computational effort to handle these sophisticated models is very challenging and demands the usage of strongly scalable parallel algorithms. In this context we ment...

Mechanical stoppers in MEMS capacitive systems can dramatically affect electrical performances and result complicated mechanical dynamic responses. This paper introduces electromechanical coupling nonlinear responses variable dual-capacitor with an effect of asymmetrical stoppers. We found that the capacitance circuit system related to first-order derivative output voltage on a load resistor, w...

The homotopy analysis method HAM is employed to propose an approach for solving the nonlinear dynamical system of an electrostatically actuated micro-cantilever in MEMS. There are two relative merits of the presented HAM compared with some usual procedures of the HAM. First, a new auxiliary linear operator is constructed. This operator makes it unnecessary to eliminate any secular terms. Furthe...

In this paper, an intelligent controller is applied to govern the dynamics of electrically heated micro-heat exchanger plant. First, the dynamics of the micro-heat exchanger, which acts as a nonlinear plant, is identified using a neurofuzzy network. To build the neurofuzzy model, a locally linear learning algorithm, namely, locally linear mode tree (LoLiMoT) is used. Then, an intelligent contro...