University of Wisconsin - Madison, Mechanical Engineering
Advisor: Chris Rutland
- 7/96 - 8/2001
- Spray Modeling with Adaptive Mesh Refinement
the primary difficulties encountered when using computational methods to
model complex flows is the need for a prohibitive amount of memory in
order to resolve small scale behavior. Adaptive Mesh Refinement (AMR) has
proven to be a powerful and effective numerical technique for addressing
this problem. By adaptively identifying and focusing on key areas, AMR is
able to resolve the desired small scale behavior of flows without the
additional memory overhead of refining the mesh over the entire domain.
The effectiveness of this technique has been demonstrated in its
application to fluids encountering shockwaves, for example.
In collaboration with researchers in the
Center for Computational Sciences and Engineering at the Lawrence
Berkeley National Labs, the capability of an existing AMR fluid code was
expanded to handle flows with properties common to engine combustion
problems. This work involved introducing parcels of droplets into
an ambient gaseous flow in order to model fuel sprays found within
fuel-injected diesel engines.
To read more, my dissertation can be viewed here.
Lewis and Clark College, Physics Department:
Advisor: Herschel Snodgrass
- 6/93 - 7/94
- Programmed data analysis routines and analyzed data from
solar magnetograms in research that lead to my senior thesis
in physics and a paper (see abstract)
in Solar Physics.
University of Utah, Physics Department:
Advisor: Eugene Loh, Cosmic Ray Research Group
- Summer '91
- Designed, built, and tested a model system of optical fibers
to be implemented as a part of the mirror calibration system of the
HiRes Fly's Eye.
Co-worker: Zhen Liu
- Summer '92
- Designed and constructed a "moon scope" - a portable
calibrated instrument that would allow a comparison of the
atmosphere's ability to transmit light at different sites using a
common light source (the moon).
Tues, Jan 19 2010