Self-Organizing Maps for Fast LES Combustion Modeling Project

Metadata Updated: July 8, 2015

Tremendous advances have been made in the development of large and accurate detailed reaction chemistry models for hydrocarbon fuels. Comparable progress has also been achieved in CFD as an engineering design tool. Highly accurate hydrocarbon chemistry is now desired for simulating gas turbine combustors and automobile engines to better predict both performance and pollutant emissions. Newer and more accurate CFD techniques like Large Eddy Simulation (LES) are being used more as computational power increases along with the demand for better flow predictions. Unfortunately, using large, detailed chemical mechanisms to simulate real turbulent combustion devices is problematic due to the sheer computational burden of the added chemistry. As a result, chemistry mechanisms employing a large number of chemical species are currently only feasible to run in the simplest of flow geometries, and only the simplest and least accurate chemistry models are currently tractable to run in LES CFD codes. We propose using a unique neural network approach to create a fast and accurate species source term function that could alleviate both of these problems.

Access & Use Information

Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date April 9, 2015
Metadata Updated Date July 8, 2015

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date April 9, 2015
Metadata Updated Date July 8, 2015
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_9459
Maintainer Email
Id {$oid: 55942aa5c63a7fe59b49994e}
Public Access Level public
Bureau Code 026:00
Metadata Context
Schema Version
Catalog Describedby
Harvest Object Id 370d620a-95c1-4b1c-b06d-a4a272fc4dbc
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2011-02-01T00:00:00Z
Homepage URL
Language en-US
Data Last Modified 2015-03-12
Program Code 026:027
Publisher Hierarchy National Aeronautics and Space Administration > Space Technology Mission Directorate
Related Documents,,,,,,,
Source Datajson Identifier True
Source Hash 2ed6881b8b2640a47378f0e77595548d2042d989
Source Schema Version 1.1
Temporal 2011-02-01T00:00:00Z/2011-09-01T00:00:00Z

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