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High Efficiency Computation of High Reynolds Number Flows

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-13-P-1199
Agency Tracking Number: N13A-009-0267
Amount: $79,940.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N13A-T009
Solicitation Number: 2013.A
Timeline
Solicitation Year: 2013
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-07-01
Award End Date (Contract End Date): 2014-04-30
Small Business Information
11180 Reed Hartman Highway
Cincinnati, OH -
United States
DUNS: 868140278
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Stephen Hill
 Lead Senior Engineer
 (513) 985-9877
 stephen.hill@technosoft.com
Business Contact
 Adel Chemaly
Title: President
Phone: (513) 985-9877
Email: adel.chemaly@technosoft.com
Research Institution
 Penn State Unv,Applied Research Lab
 Robert Baker
 
PO Box 30
University Park, PA 16804-
United States

 (814) 867-1552
 Nonprofit College or University
Abstract

Although advancements in CFD technology and high performance computing have proven to be effective and reasonably accurate in assessing the hydrodynamic performance of naval vessels, the effort required to develop associated analysis models remains a challenging and time consuming task. Decomposing and manipulating the design geometry for mesh construction, while capturing near-field and far-field effects and interactions among moving components, are manual processes and place the heaviest demands on time in the analysis process. An integrated modeling and hydrodynamics analysis framework is proposed. It incorporates a feature-based modeling environment facilitating rapid layout and configuration of vessels automating the creation and parameterization of structured, unstructured, and overset grids. CFD solvers are seamlessly integrated and directly linked with algorithms for mesh refinement and adaptivity. Updating grids in critical flow regions (streamlines, wakes, boundary layers) and management of overset grids around moving components are supported. Distributed-object computing algorithms to process, manage, and enable interoperability among large scale analysis geometry and mesh models are supported. The framework integrates design and analysis processes, seamlessly linking solvers with the modeling and meshing process, enabling rapid development of computationally efficient and accurate hydrodynamic simulations for performance assessment of vessels at the earliest stage of the engineering process.

* Information listed above is at the time of submission. *

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