SBIR/STTR Research Award

Hexahedral Dominant Auto-Mesh Generator

Award identifier aa25432ab7f055c2fca66c71f076495eb3a0c74ac3f5e24ef9baf2883a584b22Awarding agency Department of Defense · Navy

Award amount

$140,000

Program and phase

STTR · Phase I

Award year

2020

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
M4 ENGINEERING, INC.
Proposal award date
2020-04-18
Contract end date
2020-10-26
UEI
DM3EW67JLQM1
Solicitation number
20.A
Topic code
N20A-T004

Research abstract

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.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

83 SBIR/STTR records share this UEI (2004–2026). Reported award amounts total $30,097,301. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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