SBIR/STTR Research Award

Modification to the Monte Carlo N-Particle (MCNP) Visual Editor (MCNPVised) to Read in Computer Aided Design (CAD) Files

Award identifier dc18665dd3fa1a10db4174618d9fcb25eb374d0b9ddb2533d7cf8d9c00b183aeAwarding agency Department of Energy

Award amount

$304,000

Program and phase

SBIR · Phase II

Award year

2003

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
Visual Editor Consultants
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

70032S02-II Monte Carlo N-Particle (MCNP) is the code of choice for complex neutron/photon/electron transport calculations for the nuclear industry and research institutions. The Visual Editor for MCNP is recognized internationally as the best code for visually creating input files for MCNP. This project will enhance the capabilities of the Visual Editor to allow it to read in a Computer Aided Design (CAD) file, permitting the user to modify and view the CAD file and then electronically generate and print out a valid MCNP input geometry. For a file from a design drawing to be read into the Visual Editor, it first must be written in an export format from CAD. The Visual Editor uses this enhanced version to translate a three-dimensional design geometry into surfaces and cells that can be used in an MCNP input file. In Phase I, a method for reading in and converting two-dimensional geometries was developed, and the corresponding Monte Carlo input geometry was generated. In Phase II, the algorithm developed for two-dimensional geometries will be extended to three dimensions. Additionally, new capabilities will be added to the Visual Editor to allow users to view the three-dimensional geometry. Commercial Applications and Other Benefits as described by awardee: Computer Aided Design files are used to design almost any facility used for nuclear applications. A significant costs savings would result if these design geometry files were converted into Monte Carlo N-Particle input files, without the user having to input the geometry by hand.

Technology keywords

Not reported

Agency intelligence

Department of Energy

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.