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Hexahedral Dominant Auto-Mesh Generator

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0424
Agency Tracking Number: N20A-T004-0226
Amount: $140,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N20A-T004
Solicitation Number: 20.A
Solicitation Year: 2020
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-04-18
Award End Date (Contract End Date): 2020-10-26
Small Business Information
4020 Long Beach Blvd., 2nd Floor
Long Beach, CA 90807-0000
United States
DUNS: 133626544
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Daniel Hammerand
 (951) 500-4819
Business Contact
 Kevin Roughen
Phone: (562) 981-7797
Research Institution
 Virginia Tech
 Rakesh Kapania
300 Turner St. SW
Blacksburg, VA 24061-1111
United States

 (540) 231-4881
 Nonprofit College or University

Advances in both software and computer hardware have made the finite element method the preeminent choice for analyzing highly complex systems that are of great value to the Department of Defense.   The US Defense industry, however, continues to spend enormous time and resources in mesh generation, a key step in finite element analysis, despite progress that has been made in automated mesh generation using tetrahedral elements.  There is a widespread agreement that for accurate and efficient analysis of complex structures, one must employ hexahedral elements. However, even today very few codes exist that can automatically discretize a complex structure using hexahedral elements directly from a CAD (Computer-Aided-Design) file that is available in STEP (Standard for the Exchange of Product Model Data), IGES (The Initial Graphics Exchange Standard) or any other geometry exchange standards. The M4 Engineering/Virginia Tech team, which has worked together on several SBIR and STTRs, proposes a novel scheme that leverages the previous work in the literature on automated feature recognition from the STEP and IGES files for automated manufacturing purposes to develop a software tool for automatically generating hexahedral dominant mesh directly from CAD files.  The program will be light-weight, meaning it will economize memory utilization so that it can run on a low-memory (e.g., 4GB) machine. The automated feature recognition system will be based on parsing the graphics exchange standards using an object-oriented language (for reducing memory requirements) to divide the complex structure into geometries that are easily amenable to automated hexahedral meshing using existing approaches.

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

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