Energy Flow Analysis (EFA) has been developed to predict the vibration energy density of system structures in the high frequency range.
Using a simple beam as a representative structural component for illustration, relationships among vibration frequency, density of measurement points and size of detectable damage were explored, facilitating a judicious selection of measurement parameters.
Based on the physical model, the effects of vibration velocity, particle density, particle radius, driving frequency, and gravitation on the trapping capability are theoretically investigated and discussed for different fluids and useful guidelines for the optimum design are proposed.
In the current study, we hypothesize that the vibration power absorption density (VPAD) is a good measure for the vibration exposure intensity of the soft tissues of the fingers.
In this work probabilistic design procedure was applied to the group of ten blades of the LP stage steam turbine of 110 MW, in order to compute the stress changes and reliability due to variations in: damping, natural frequencies, vibration magnitude and density.
These quantities are used as excitation in the calculation of random vibration response spectral densities of the cylindrical structures.
The purpose of this study was to determine the effect of hair density on vibration detection thresholds associated with the perception of low frequency vibration stimuli applied to the head.
Other than many well-known vibration sources in high density hard disk drive (HDD) servo systems, contact-induced vibration (CIV) is a new vibration source due to continuous contact of the read/write head with the media.
The Raman spectrum from a-Si is, then, a measure of the density of vibration states that are modified substantially by small changes in the short-range order [26].
The proposed head-dependent AFF control scheme with pre-filtering is validated by the drive level experiments with significant performance improvement for vibration compensation in high density HDD servo system.
