Air damping in laterally oscillating microresonators: a numerical and experimental study

In this paper, we investigate computing air damping in a comb-drive resonator by numerically solving the three-dimensional (3-D) Stokes equation for the entire resonator using the FastStokes Solver. In addition, we used a recently developed computer microvision system to directly measure resonator frequency response. By comparing the measured results to those generated by one dimensional analytic models and by numerical solution of the 3-D Stokes' equation, we demonstrate that numerically solving the Stokes' equation is fast and also generates a model that matches quality the factor to within 10%. We also show that results based on one-dimensional (1-D) models mispredict quality factor by more than a factor of two. In addition, the detailed drag force distribution generated by the FastStokes solver is used to identify sources of errors in the 1-D models.

[1]  Y. Saad,et al.  GMRES: a generalized minimal residual algorithm for solving nonsymmetric linear systems , 1986 .

[2]  William C. Tang,et al.  Electrostatic-comb drive of lateral polysilicon resonators , 1990 .

[3]  C. Pozrikidis Boundary Integral and Singularity Methods for Linearized Viscous Flow: Index , 1992 .

[4]  William C. Tang,et al.  Electrostatic Comb Drive Levitation And Control Method , 1992 .

[5]  P. K. Banerjee The Boundary Element Methods in Engineering , 1994 .

[6]  R. Howe,et al.  Viscous damping model for laterally oscillating microstructures , 1994 .

[7]  William C. Tang,et al.  Viscous air damping in laterally driven microresonators , 1994, Proceedings IEEE Micro Electro Mechanical Systems An Investigation of Micro Structures, Sensors, Actuators, Machines and Robotic Systems.

[8]  George Em Karniadakis,et al.  Rarefaction and Compressibility Effects in Gas Microflows , 1996 .

[9]  A.P. Pisano,et al.  Dual axis operation of a micromachined rate gyroscope , 1997, Proceedings of International Solid State Sensors and Actuators Conference (Transducers '97).

[10]  Jacob K. White,et al.  A precorrected-FFT method for electrostatic analysis of complicated 3-D structures , 1997, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst..

[11]  Gabriel M. Rebeiz,et al.  Micromachined devices for wireless communications , 1998, Proc. IEEE.

[12]  D. M. Freeman,et al.  Statistics of subpixel registration algorithms based on spatiotemporal gradients or block matching , 1998 .

[13]  D. M. Freeman,et al.  Using a light microscope to measure motions with nanometer accuracy , 1998 .

[14]  J Kanapka,et al.  A Fast 3D Solver for Unsteady Stokes Flow with Applications to Micro-Electro-Mechanical Systems , 1999 .

[15]  Xin Wang,et al.  Efficiency and Accuracy improvements for FastStokes, A precorrected-FFT accelerated 3-D stokes solver , 1999 .

[16]  S. Senturia Microsystem Design , 2000 .

[17]  C. Nguyen,et al.  High-Q HF microelectromechanical filters , 2000, IEEE Journal of Solid-State Circuits.

[18]  Ark-Chew Wong,et al.  VHF free-free beam high-Q micromechanical resonators , 2000, Journal of Microelectromechanical Systems.

[19]  X. Wang,et al.  Fast fluid analysis for multibody micromachined devices , 2001 .

[20]  T. Veijola,et al.  Compact damping models for laterally moving microstructures with gas-rarefaction effects , 2001 .

[21]  Wenjing Ye,et al.  A fast integral approach for drag force calculation due to oscillatory slip stokes flows , 2004 .

[22]  Berthold K. P. Horn,et al.  Direct methods for recovering motion , 1988, International Journal of Computer Vision.