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Title: A minimally-dissipative low-Mach number solver for complex reacting flows in Open$$\mathrm{FOAM}$$

Journal Article · · Computers and Fluids
 [1];  [1];  [2];  [1];  [1]
  1. University of Michigan, Ann Arbor, MI (United States)
  2. SLI, Inc., Air Force Research Lab, Edwards AFB, CA (United States)

Large eddy simulation (LES) has become the de-facto computational tool for modeling complex reacting flows, especially in gas turbine applications. However, readily usable general-purpose LES codes for complex geometries are typically academic or proprietary/commercial in nature. In this report the objective is to develop and disseminate an open source LES tool for low-Mach number turbulent combustion using the OpenFOAM framework. In particular, a collocated-mesh approach suited for unstructured grid formulation is provided. Unlike other fluid dynamics models, LES accuracy is intricately linked to so-called primary and secondary conservation properties of the numerical discretization schemes. This implies that although the solver only evolves equations for mass, momentum, and energy, the implied discrete equation for kinetic energy (square of velocity) should be minimally-dissipative. Here, a specific spatial and temporal discretization is imposed such that this kinetic energy dissipation is minimized. The method is demonstrated using manufactured solutions approach on regular and skewed meshes for a canonical flow and a lab-scale turbulent flow problem.

Research Organization:
Univ. of Texas, Austin, TX (United States); Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Organization:
USDOE Office of Fossil Energy (FE); National Aeronautics and Space Administration (NASA); USDOE
Grant/Contract Number:
FE0012053; NNX16AP90A
OSTI ID:
1538178
Alternate ID(s):
OSTI ID: 1549182
Journal Information:
Computers and Fluids, Vol. 162, Issue C; ISSN 0045-7930
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 29 works
Citation information provided by
Web of Science

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Figures / Tables (18)