Automated Preparation of Geometry Models for Computational Applications

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,960.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
W31P4Q-10-C-0145
Award Id:
97658
Agency Tracking Number:
A093-132-0998
Solicitation Year:
n/a
Solicitation Topic Code:
Army 09-132
Solicitation Number:
n/a
Small Business Information
2629 Townsgate Road, Suite 105, Westlake Village, CA, 91361
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
005100560
Principal Investigator:
Kuo-Yen Szema
Sr. Scientist
(805) 371-7500
kyszema@hypercomp.net
Business Contact:
Vijaya Shankar
Vice-President
(805) 371-7556
cbrooke@qortek.com
Research Institution:
n/a
Abstract
In this proposed effort we seek to develop and integrate CAD repair algorithms that greatly decrease the time spent preparing complex geometry for grid generation as part of numerical simulation problem setup. Highly detailed CAD models are critical for design and manufacture of all sorts of geometries, from antennas to vehicles, bridges and buildings. However, in many cases small features in the CAD model are not needed for the numerical simulations carried out using those models, such as those involving structural mechanics, fluid dynamics, or electromagnetics. De-featuring, or simplifying CAD models and performing associated clean-up of the geometry entities remains a large bottleneck in the simulation process. In addition, deficiencies exist in exchanging data among CAD tools. This proposal outlines methods for greatly reducing the CAD preparation time using existing technology developed at HyPerComp, open source solutions where available for data exchange, and the development of new and novel capabilities for importing geometry and performing CAD clean-up.

* information listed above is at the time of submission.

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