skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: SWIFT and Explosive PIV

Authors:
 [1]
  1. Los Alamos National Laboratory
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
DOE/LANL
OSTI Identifier:
1143992
Report Number(s):
LA-UR-14-25496
DOE Contract Number:
AC52-06NA25396
Resource Type:
Conference
Resource Relation:
Conference: International Detonation Symposium ; 2014-07-14 - 2014-07-14 ; San Francisco, California, United States
Country of Publication:
United States
Language:
English
Subject:
Condensed Matter Physics, Superconductivity & Superfluidity(75); Engineering(42)

Citation Formats

Murphy, Michael John. SWIFT and Explosive PIV. United States: N. p., 2014. Web.
Murphy, Michael John. SWIFT and Explosive PIV. United States.
Murphy, Michael John. Fri . "SWIFT and Explosive PIV". United States. doi:. https://www.osti.gov/servlets/purl/1143992.
@article{osti_1143992,
title = {SWIFT and Explosive PIV},
author = {Murphy, Michael John},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jul 18 00:00:00 EDT 2014},
month = {Fri Jul 18 00:00:00 EDT 2014}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • SWIFT diagnostics coupled with PDV and other tools represent an exciting new source of data with many possible applications - Basic HE and detonator characterization. SIAS is the name for the methodology we use to couple our SWIFT data to calculations for maximum utilization - Each experiment design requires a new load curve/table and associated ALE3D input file.
  • Abstract not provided.
  • Particle image velocimetry (PIV) has advanced significantly in the last few years. The development of tracking algorithms capable of following a particle through many frames of digitized data has allowed researchers to quantify the movement of suspended particles in the flow. The increased power of computers has further increased the speed and accuracy of these tracking methods. Currently, these methods are used in determining the velocity fields for a wide variety of flow patterns. Successful results have been obtained for both single-phase and two-phase flows. These successes have demonstrated that obtaining accurate results for many flows requires the capability tomore » perform three-dimensional analysis. The two major steps in obtaining three-dimensional analysis. The two major steps in obtaining three-dimensional information are acquiring three-dimensional data and then performing a three-dimensional analysis. Research has progressed such that it is now possible to acquire the three-dimensional data using multiple charge coupled diode cameras. The latter step is to analyze this data. The tracking algorithms that were useful in two-dimensional analysis should be able to perform this task, given a few modifications.« less
  • PIV provides a means of measuring the instantaneous 2-component velocity field across a planar region of a seeded flowfield. In this work only two camera, single exposure images are considered where both cameras have the same view of the illumination plane. Two competing techniques which yield unambiguous velocity vector direction information have been widely used for reducing the single exposure, multiple image data; cross-correlation and particle tracking. Correlation techniques yield averaged velocity estimates over subregions of the flow, whereas particle tracking techniques give individual particle velocity estimates. In this work fuzzy logic techniques are used to determine the true correlationmore » displacement peak even when it is not the maximum peak on the correlation plane, hence maximizing the information recovery from the correlation operation, maintaining the number of independent measurements and minimizing the number of spurious velocity vectors. Correlation peaks are correctly identified in both high and low seed density cases. The correlation velocity vector map can then be used as a guide for the particle tracking operation. Again fuzzy logic techniques are used, this time to identify the correct particle image pairings between exposures to determine particle displacements, and thus velocity. The advantage of this technique is the improved spatial resolution which is available from the particle tracking operation. Particle tracking alone may not be possible in the high seed density images typically required for achieving good results from the correlation technique. This two staged approach offers a velocimetric technique capable of measuring particle velocities with high spatial resolution over a broad range of seeding densities.« less
  • Using experimental data from Particle Image Velocimetry (PIV) measurements, coherent structures of a transitional, spatially developing boundary layer are determined. The coherent structures are calculated utilizing the Proper Orthogonal Decomposition (POD), which is based on an expansion of the flow field variables into so-called Karhunen-Loeve eigenfunctions. To get reproducible flow conditions the authors excite the flow with controlled disturbances by means of periodic velocity fluctuations. The authors are able to introduce two- and three-dimensional traveling waves. Therefore it is possible to investigate different transition scenarios. This paper focuses on the oblique transition. Phase locked signals allows to record the flowmore » field at certain instants of time. They can show that PIV is a suitable technique to provide experimental data for POD. The POD shows that already a small number of modes cover most of the energy.« less