An Automated High Aspect Ratio Mesher for Computational Fluid Dynamics

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$749,997.00
Award Year:
2011
Program:
STTR
Phase:
Phase II
Contract:
NNX11CC71C
Agency Tracking Number:
090014
Solicitation Year:
2009
Solicitation Topic Code:
T8.01
Solicitation Number:
n/a
Small Business Information
Ciespace Corporation
IL, Oak Brook, IL, 60523-0036
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
023922709
Principal Investigator:
Kenji Shimada
Principal Investigator
(412) 268-3614
shimada@cmu.edu
Business Contact:
John Cray
Business Official
(630) 544-8958
cray@ciespace.com
Research Institution:
Carnegie Mellon University
Kristen Jackson
5000 Forbes Avenue
Pittsburgh, PA, 15213-15213
() -
Domestic nonprofit research organization
Abstract
The work will focus on the 3D implementation of the Phase 1 CHARM mesher, with solution-adaptive iteration for CFD and non-CFD applications. The proposed 3D method will incorporate and extend a previously developed method of generating field-guided hexahedral elements from a metric tensor field. While the fundamental technical approach?a combination of metric tensor conditioning, metric-tracing mesher, and cell-packing mesher?remains the same, there are many technical challenges specific to the 3D domain, including the following:- Investigation into conditioning of volume metric tensor fields- Investigation into the topology (structure) of volume metric tensor fields- Developing algorithms for the generation, repair, and adjustment of streamsurface arrangements- Developing algorithms to convert streamsurface arrangements to hex-dominant meshes- Developing algorithms to combine streamsurface- and packing-based meshes- Investigation into designing these algorithms for mesh adaptation rather than adaptive remeshing- Investigation of time and storage efficiency of these algorithms in a large-scale parallelism contextIn addition to the above, the goal is to generalize the solution in order to support its packaging and commercialization for a number of problem sets and target applications. This includes generalization of the solver-adaptive framework, creation of APIs to programatically expose core functions, and provide UI access to appropriately control and configure the application.

* information listed above is at the time of submission.

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