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313results about "Full-field flow measurement" patented technology

Feedback mechanism for smart nozzles and nebulizers

Nozzles and nebulizers that can be adjusted to produce an aerosol with optimum and reproducible quality based on the feedback information obtained using laser imaging techniques are provides. Two laser-based imaging techniques based on particle image velocimetry (PIV) and optical patternation are provided to map and contrast the size and velocity distributions for indirect and direct pneumatic nebulizations in plasma spectrometry. The flow field of droplets is illuminated by two pulses from a thin laser sheet with a known time difference. The scattering of the laser light from droplets is captured by a charge coupled device (CCD), providing two instantaneous images of the particles. Pointwise cross-correlation of the corresponding images yields a two-dimensional (2-D) velocity map of the aerosol velocity field. For droplet size distribution studies, the solution is doped with a fluorescent dye and both laser induced florescence (LIF) and Mie scattering images are captured simultaneously by two CCDs with the same field of view. The ratio of the LIF/Mie images provides relative droplet size information, which is then scaled by a point calibration method via a phase Doppler particle analyzer (PDPA). Two major outcomes are realized for three nebulization systems: 1) a direct injection high efficiency nebulizer (DIHEN); 2) a large-bore DIHEN (LB-DIHEN); and 3) a PFA microflow nebulizer with a PFA Scott-type spray chamber. First, the central region of the aerosol cone from the direct injection nebulizers and the nebulizer-spray chamber arrangement comprise fast (>13 m/s and >8 m/s, respectively) and fine (<10 μm and <5 μm, respectively) droplets as compared to slow (<4 m/s) and large (>25 μm) droplets in the fringes. Second, the spray chamber acts as a momentum separator, rather than a droplet size selector, as it removes droplets having larger sizes or velocities. Smart-tunable nebulizers may utilize the measured momentum as a feedback control for adjusting certain operation properties of the nebulizer, such as operating conditions and/or critical dimensions.

Low-altitude wind shear wind speed estimating method based on space-time optimal processor

The invention relates to a low-altitude wind shear wind speed estimating method based on a space-time optimal processor and belongs to the field of airborne meteorological radar signal processing. The low-altitude wind shear wind speed estimating method based on the space-time optimal processor comprises the following steps of 1) reading aeroplane state parameters, radar antenna scanning parameters and the like from associated airborne equipment as prior information; 2) selecting a distance unit to be detected, and correcting the distance dependence of ground clutter through a space-time interpolation method; 3) compensating aeroplane speed through the prior information; 4) estimating the ground clutter covariance matrix of the distance unit to be detected; 5) suppressing the ground clutter and performing wind speed estimation through the space-time optimal processor; 6) repeating the steps of 2)-5) and sequentially performing wind speed estimation on the echo data of all the distance units. The low-altitude wind shear wind speed estimating method based on the space-time optimal processor is used for solving the problem of poor wind speed estimation precision under the background of heavy clutter and imports space-time information into an airborne meteorological radar. Simulation results prove the effectiveness of the low-altitude wind shear wind speed estimating method based on the space-time optimal processor.
Owner:CIVIL AVIATION UNIV OF CHINA

Three-dimensional flow field test method based on single light-field camera

The invention discloses a three-dimensional flow field testing method based on a single light field camera, A1, using a single light field camera to obtain a time series particle light field image of tracer particles in the flow field to be tested; A2, preprocessing the time series particle light field image , to remove background noise; A3, use CPU and/or GPU parallel processing methods to reconstruct time-series particle light field images to obtain time-series 3D particle images; A4, perform cross-correlation calculations on time-series 3D particle images to obtain 3D flow field velocity Field distribution; A5, post-processing the velocity field of the three-dimensional flow field, eliminating the wrong velocity vector, and replacing the eliminated wrong vector with interpolation based on the adjacent correct vector. The present invention can obtain the three-dimensional velocity distribution of the flow field to be tested through the sequential image acquisition of a single light field camera. Compared with the existing multi-view three-dimensional flow field test method, the hardware system configuration is greatly reduced and the hardware system adjustment is simplified. Steps, especially suitable for three-dimensional flow field measurement in confined space.
Owner:SHANGHAI JIAO TONG UNIV
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