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Title: Improving RANS Modeling of Trailing Edge Slot Film Cooling Flows AND Using Machine Learning to Detect When RANS will Fail.

Abstract

Abstract not provided.

Authors:
Publication Date:
Research Org.:
Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1246850
Report Number(s):
SAND2015-1709PE
579737
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the Meeting with contacts at Stanford University and GE Aviation held March 18, 2015 in Stanford, CA.
Country of Publication:
United States
Language:
English

Citation Formats

Ling, Julia. Improving RANS Modeling of Trailing Edge Slot Film Cooling Flows AND Using Machine Learning to Detect When RANS will Fail.. United States: N. p., 2015. Web.
Ling, Julia. Improving RANS Modeling of Trailing Edge Slot Film Cooling Flows AND Using Machine Learning to Detect When RANS will Fail.. United States.
Ling, Julia. Sun . "Improving RANS Modeling of Trailing Edge Slot Film Cooling Flows AND Using Machine Learning to Detect When RANS will Fail.". United States. doi:. https://www.osti.gov/servlets/purl/1246850.
@article{osti_1246850,
title = {Improving RANS Modeling of Trailing Edge Slot Film Cooling Flows AND Using Machine Learning to Detect When RANS will Fail.},
author = {Ling, Julia},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Mar 01 00:00:00 EST 2015},
month = {Sun Mar 01 00:00:00 EST 2015}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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