Pressure fields investigation by LPS technology on the aerospacecraft model

1994 ◽  
Vol 4 (11) ◽  
pp. 2317-2327 ◽  
Author(s):  
A. O. Andreev ◽  
A. P. Bukov ◽  
M. W. lpatov ◽  
S. V. Kabin ◽  
P. D. Nushtaev ◽  
...  
Keyword(s):  
Pressure Fields

Characterization of the Flow and Surface Pressure Fields of an Oscillating Fence Actuator

2008 ◽  
Author(s):  
Manjinder Saini ◽  
Jonathon Naughton ◽  
Taro Yamashita ◽  
Hiroki Nagai ◽  
Keisuke Asai
Keyword(s):  
Surface Pressure ◽  
Pressure Fields

Numerical Modeling of Filtration Pressure Fields in an Isolated Homogeneous Isotropic Imperfectly Stripped Seam

2021 ◽  
Vol 94 (1) ◽  
pp. 36-44
Author(s):  
A. I. Filippov ◽  
A. A. Koval’skii ◽  
O. V. Akhmetova ◽  
M. R. Gubaidullin
Keyword(s):  
Numerical Modeling ◽  
Filtration Pressure ◽  
Pressure Fields

scholarly journals Dense U-Net for Limited Angle Tomography of Sound Pressure Fields

2021 ◽  
Vol 11 (10) ◽  
pp. 4570
Author(s):  
Oliver Rothkamm ◽  
Johannes Gürtler ◽  
Jürgen Czarske ◽  
Robert Kuschmierz
Keyword(s):  
Measurement Errors ◽  
Sound Pressure ◽  
Tomographic Reconstruction ◽  
Synthetic Data ◽  
Projection Data ◽  
Quantitative Measurements ◽  
Pressure Fields ◽  
The Neural Network ◽  
Bias Flow ◽  
3D Information

Tomographic reconstruction allows for the recovery of 3D information from 2D projection data. This commonly requires a full angular scan of the specimen. Angular restrictions that exist, especially in technical processes, result in reconstruction artifacts and unknown systematic measurement errors. We investigate the use of neural networks for extrapolating the missing projection data from holographic sound pressure measurements. A bias flow liner was studied for active sound dampening in aviation. We employed a dense U-Net trained on synthetic data and compared reconstructions of simulated and measured data with and without extrapolation. In both cases, the neural network based approach decreases the mean and maximum measurement deviations by a factor of two. These findings can enable quantitative measurements in other applications suffering from limited angular access as well.

scholarly journals Factors Contributing to Increased Blast Overpressure Inside Modern Ballistic Helmets

2020 ◽  
Vol 10 (20) ◽  
pp. 7193
Author(s):  
Maciej Skotak ◽  
Jonathan Salib ◽  
Anthony Misistia ◽  
Arturo Cardenas ◽  
Eren Alay ◽  
...  
Keyword(s):  
Experimental Study ◽  
Shock Tube ◽  
Principle Component Analysis ◽  
Hot Spots ◽  
Shape Factor ◽  
Elevated Pressure ◽  
Focal Points ◽  
Parietal Region ◽  
Blast Overpressure ◽  
Pressure Fields

This study demonstrates the orientation and the "shape factor" have pronounced effects on the development of the localized pressure fields inside of the helmet. We used anatomically accurate headform to evaluate four modern combat helmets under blast loading conditions in the shock tube. The Advanced Combat Helmet (ACH) is used to capture the effect of the orientation on pressure under the helmet. The three modern combat helmets: Enhanced Combat Helmet (ECH), Ops-Core, and Airframe, were tested in frontal orientation to determine the effect of helmet geometry. Using the unhelmeted headform data as a reference, we characterized pressure distribution inside each helmet and identified pressure focal points. The nature of these localized “hot spots” is different than the elevated pressure in the parietal region of the headform under the helmet widely recognized as the under-wash effect also observed in our tests. It is the first experimental study which indicates that the helmet presence increased the pressure experienced by the eyes and the forehead (glabella). Pressure fingerprinting using an array of sensors combined with the application of principle component analysis (PCA) helped elucidate the subtle differences between helmets.

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