This research quantitatively investigates fluid damping of MEMS and NEMS flexural resonators such as scanning probe and carbon nano-tube resonators, aiming to improve the quality factor prediction and therefore the resonator design. Fluid damping in beam-type resonators is most affected by resonant frequency, device dimensions and cross-sectional shape which are systematically examined within. ...

With a fast-gated camera, synchrotron light was used for studying the &&verse bean-i distributions and damping times in the Stanford Linear Collider (SLC) damping rings. By digitizing the image in the camera signal, the turn-by-turn time evolution of the transverse beam distribution was monitored and analyzed. The projections of the digitized image were fit with Gaussian ftinctions to determine...

We consider the local and global well-posedness of the coupled nonlinear wave equations u tt − ∆u + g 1 (u t) = f 1 (u, v) v tt − ∆v + g 2 (v t) = f 2 (u, v), in a bounded domain Ω ⊂ R n with a nonlinear Robin boundary condition on u and a zero boundary conditions on v. The nonlinearities f 1 (u, v) and f 2 (u, v) are with supercritical exponents representing strong sources, while g 1 (u t) and...

This study was to determine estimates of the stiffness and damping properties of the wrist, and shoulder in children by examining wrist impacts on the outstretched hand in selected gymnastic activities. The influence of age, mass, and wrist and torso impact velocity on the stiffness and damping properties were also examined. Fourteen young gymnasts (ages 8 to 15 yrs) were videotaped while perfo...

Non-linear vibration of the CRT shadow mask with impact damping wires is analyzed in consideration of the mask tension distribution and the effect of wire impact damping. A reduced order FEM model of the shadow mask is obtained from dynamic condensation of the mass and stiffness matrices, and damping wire is modelled using the lumped parameter method to effectively describe its contact interact...

Nonlinear hunting speeds of railway vehicles running on a tangent track are analytically obtained using Hopf bifurcation theory in this paper. The railway vehicle model consists of nonlinear primary yaw dampers, nonlinear flange contact stiffness as well as the clearance between the wheel flange and rail tread. Linear and nonlinear critical speeds are obtained using Bogoliubov method. A compreh...

An artificial neural network can be used as an intelligent controller to control non-linear, dynamic system through learning. It can easily accommodate non-linearities and time dependencies. Most common multi-layer feed-forward neural networks have the drawbacks of large number of neurons and hidden layers required to deal with complex problems and require large training time. To overcome these...