Xin Liu, Jinyuan Liu, Xuefa Li, Seong-Kyun Cheong, Chris F. Powell,
and Jin Wang
Argonne National Laboratory, Argonne, Illinois 60439
Mark
W. Tate, Alper Ercan, Daniel R. Schuette, Arthur Woll, and Sol M. Gruner
Cornell University, Ithaca, NY 14853
Abstract:
The detailed analysis of fuel sprays has
been well recognized as an important step for optimizing the operation
of internal-combustion engines to improve efficiency and reducing
emissions. However, the structure and dynamics of highly transient fuel
sprays have never been visualized or reconstructed in three-dimension
(3D) previously due to numerous technical difficulties. By using an
ultrafast x-ray framing detector (pixel array detector, PAD) and intense
monochromatic sychrotron x-ray beams, the fine structures and dynamics
of 1-ms gasoline fuel sprays were elucidated for the first time by a
newly developed, ultrafast computed microtomography technique. Due to
the time-resolved nature and the intensive data analysis, the Fourier
Transform algorithm was used to achieve an efficient reconstruction
process. The temporal and spatial resolutions of the current measurement
are 5.1 µs and 300 µm, respectively. Many striking features associated
with the transient liquid flows are readily observable in the
reconstructed spray. Furthermore, accurate 3D fuel density distribution
is obtained as the result of the tomographic technique in a
time-resolved manner. These results not only reveal the characteristics
of automotive fuel sprays with unprecedented details, but also
facilitate realistic computational fluid dynamic simulations in highly
transient, multiphase systems.
This work is supported by the U.S. DOE under contract W-31-109-ENG-38. The PAD development is supported by DOE grants DE-FG-0297ER14805 and DE-FG-0297ER62443. CHESS is supported by the U.S. NSF and the NIH under award DMR-9713424.
2008 Run
Nov 19th - Dec 22nd
