MEMS dynamics : measurements and modeling

Advances in MEMS sensors for diversified applications require use of computational modeling and simulation accompanied by physical measurements. We believe that successful combination of computer aided design (CAD) and multiphysics simulation tools with a state-of-the-art (SOTA) measurement methodology will contribute to reduction of high prototyping costs, long product development cycles, and time-to-market pressures while developing MEMS for a variety of applications. In our approach we combine a unique, fully integrated, software environment for multiscale, multiphysics, high fidelity modeling of MEMS with the SOTA optoelectronic laser interferometric microscope (OELIM) methodology for measurements. The OELIM methodology allows remote, noninvasive, full-field-of-view (FFV) measurements of displacements/deformations with high spatial resolution, nanometer accuracy, and in near real-time. In this paper, both, the modeling environment (including an analytical model used to quantitatively show an influence that various parameters defining a sensor may have on its dynamics using this model dynamic characteristics of a sensor can be optimized by constraining its nominal dimensions and finding the optimum set of uncertainties/tolerances in these dimensions) and the OELIM methodology are described and their applications are illustrated with representative examples demonstrating viability of the approach, combining measurements and modeling (i.e., M&M), for development of MEMS. Preliminary results demonstrate capability of our M&M approach to quantitatively determine effects of dynamic operational loads on performance of selected MEMS.

[1]  Masayoshi Esashi,et al.  MEMS and Nanotechnology , 2005 .

[2]  Andrzej J. Przekwas,et al.  Integrated multidisciplinary CAD/CAE environment for micro-electro-mechanical systems (MEMS) , 1999, Design, Test, Integration, and Packaging of MEMS/MOEMS.

[3]  Ryszard J. Pryputniewicz Hybrid approach to deformation analysis , 1994, Other Conferences.

[4]  Ryszard J. Pryputniewicz,et al.  Measurements and simulation of SMT components , 2002 .

[5]  R. J. Pryputniewicz,et al.  MEMS: Recent Advances and Current Challenges , 2006 .

[6]  Ryszard J. Pryputniewicz,et al.  Novel noninvasive methodology for characterization of packaging for MEMS inertial sensors , 2003 .

[7]  Ryszard J. Pryputniewicz,et al.  Optoelectronic characterization of shape and deformation of MEMS accelerometers used in transportation applications , 2003 .

[8]  M. M. Athavale,et al.  Coupled Fluid-Thermal-Structural Simulations In Microvalves And Microchannels , 1999 .

[9]  Ryszard J. Pryputniewicz,et al.  Absolute shape measurements using high-resolution optoelectronic holography methods , 2000 .

[10]  C. Nguyen,et al.  Design of low actuation voltage RF MEMS switch , 2000, 2000 IEEE MTT-S International Microwave Symposium Digest (Cat. No.00CH37017).

[11]  Ryszard J. Pryputniewicz,et al.  New test methodology for static and dynamic shape measurements of microelectromechanical systems , 2000 .

[12]  Ryszard J. Pryputniewicz,et al.  Hybrid computational and experimental approach for the study and optimization of mechanical components , 1998 .

[13]  Andrzej J. Przekwas,et al.  Computational framework for modeling one-dimensional subgrid components and phenomena in multidimensional microsystems , 2000, Design, Test, Integration, and Packaging of MEMS/MOEMS.

[14]  R. Pryputniewicz,et al.  Multiphysics design simulations for wirebond fabrication and reliability , 2003 .

[15]  Gabriel M. Rebeiz,et al.  RF MEMS switches and switch circuits , 2001 .

[16]  Cosme Furlong,et al.  RF MEMS: Modeling and simulation of switch dynamics , 2002 .

[17]  Andrzej Przekwas,et al.  Implicit, pressure-based incompressible Navier-Stokes equations solver for unstructured meshes , 1994 .

[18]  Ryszard J. Pryputniewicz,et al.  Optimization of Contact Dynamics for an RF MEMS Switch , 2002 .

[19]  Ryszard J. Pryputniewicz,et al.  Thermal characterization of RF MEMS relay switch design , 2003 .

[20]  R. J. Pryputniewicz,et al.  Quantitative Determination of Displacements and Strains from Holograms , 1994 .

[21]  Andrzej Przekwas,et al.  Microfluidic Filtration Chip for DNA Extraction and Concentration , 2000 .

[22]  C. Furlong,et al.  Development of packaging for MEMS inertial sensors , 2004, PLANS 2004. Position Location and Navigation Symposium (IEEE Cat. No.04CH37556).

[23]  R. Pryputniewicz,et al.  MEMS education : design , fabrication , and characterization , 2006 .

[24]  J. Jason Yao,et al.  RF MEMS from a device perspective , 2000 .

[25]  S. Krishnamoorthy,et al.  Analysis of Sample Injection and Band-Broadening in Capillary Electrophoresis Microchips , 2000 .

[26]  Ning Zhou,et al.  A numerical method for reacting flows with multi-step, stiff chemical kinetics , 1995 .

[27]  R.J. Pryputniewicz,et al.  Hybrid Methodology for Development of MEMS , 2006, 2006 IEEE/ION Position, Location, And Navigation Symposium.

[28]  Ryszard J. Pryputniewicz Hologram interferometry from silver halide to silicon and--beyond , 1995, Optics & Photonics.

[29]  M. M. Athavale,et al.  Computational design of membrane pumps with active/passive valves for microfluidic MEMS , 1999, Design, Test, Integration, and Packaging of MEMS/MOEMS.

[30]  Ryszard J. Pryputniewicz,et al.  Hybrid approach to thermal management of a FET power amplifier , 2003 .

[31]  Paul J. Mcwhorter Intelligent Microsystems: Keys to the Next Silicon Revolution , 1999 .