NASA STTR 2009 Solicitation

FORM B - PROPOSAL SUMMARY


PROPOSAL NUMBER: 09-2 T8.01-9986
PHASE 1 CONTRACT NUMBER: NNX10CF76P
RESEARCH SUBTOPIC TITLE: Computational Fluid Dynamics Mesh Creation
PROPOSAL TITLE: An Automated High Aspect Ratio Mesher for Computational Fluid Dynamics

SMALL BUSINESS CONCERN (SBC): RESEARCH INSTITUTION (RI):
NAME: Ciespace Corporation NAME: Carnegie Mellon University
STREET: 900 Commerce Drive, Suite 201 STREET: 5000 Forbes Avenue
CITY: Oak Brook CITY: Pittsburgh
STATE/ZIP: IL  60523 - 0036 STATE/ZIP: PA  15213 - 3589
PHONE: (630) 645-9100 PHONE: (412) 268-9527

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Kenji Shimada
shimada@cmu.edu
5000 Forbes Avenue
Pittsburgh, PA 15213 - 3890
(412) 268-3614

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 3
End: 6

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
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 context

In 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.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The Ciespace adaptive remeshing framework can be applied to the evaluation, design/redesign, and assessment of air- and spacecraft for current and future NASA missions. The current requirement is the use of a suitable CFD solver which can take mixed-element meshes as input for solution and provide metric output for adaptive refinement. The following represent example applications in three categories:

1. Evaluation Evaluating the initial design space for future missions by complementing experimental studies with simulation results. This can be applied to the modeling of air (terrestrial and otherwise) and space vehicles under various conditions.

2. Design/Redesign Making design decisions or modifications to existing designs based on predictive simulation and experimental validation of concepts.

3. Assessment Determining the flight-dynamics of current platforms (Constellation vehicles, the Mars ARES scout, and others). This may lead to redesign activities.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The proposed innovation can be leveraged by Ciespace to address commercial problems in a number of categories:

CFD analysis problems with high-flow conditions and defined flow feature orientations.
High-deformation problems in impact, crash, or thermal change.
Analysis of high stress or vibration across a model.
Electromagnetic analysis driven by varying field conditions across a surface or volume.

These problem sets are applicable across a number of markets, including aerospace, automotive, electronics, and heavy equipment manufacturing, serving large-scale enterprises as well as mid-market parts suppliers. Inclusion of the innovation in the Ciespace integrated solution supports differentiation in the product through improved control over high aspect ratio meshes, as well as the ability to demonstrate tighter bi-directional integration with industry solver technologies addressing these problems, including:

CFD solvers, such as Fluent, FUN3D, and others
Injection molding simulation solutions, such as 3DTIMON, Moldflow, and Moldex3D
Crash simulation solutions, such as PAM-CRASH and LS-DYNA
Non-linear structural and mechanical simulation solutions, such as ABAQUS and ANSYS
Electromagnetic solvers, such as IBM EMSURF, JMAG, and Ansoft

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Aerobrake
Aircraft Engines
Airframe
Attitude Determination and Control
Controls-Structures Interaction (CSI)
Cooling
Electromagnetic Thrusters
Fluid Storage and Handling
Launch and Flight Vehicle
Simulation Modeling Environment
Structural Modeling and Tools
Thermal Insulating Materials


Form Generated on 02-01-11 15:25