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

Hassanaly, Malik; Koo, Heeseok; Lietz, Christopher F.; Chong, Shao Teng; Raman, Venkat

doi:10.1016/j.compfluid.2017.11.020

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

Journal Article · Sat Dec 02 00:00:00 EST 2017 · Computers and Fluids

DOI:https://doi.org/10.1016/j.compfluid.2017.11.020· OSTI ID:1538178

Hassanaly, Malik ^[1]; Koo, Heeseok ^[2]; Lietz, Christopher F. ^[3]; Chong, Shao Teng ^[2]; Raman, Venkat ^[2]

University of Michigan, Ann Arbor, MI (United States); DOE/OSTI
University of Michigan, Ann Arbor, MI (United States)
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.

View Accepted Manuscript (DOE)

Research Organization:: University of Michigan, Ann Arbor, MI (United States); University of Texas, Austin, TX (United States)

Sponsoring Organization:: National Aeronautics and Space Administration (NASA); USDOE; USDOE Office of Fossil Energy (FE)

Grant/Contract Number:: FE0012053

OSTI ID:: 1538178

Alternate ID(s):: OSTI ID: 1549182

Journal Information:: Computers and Fluids, Journal Name: Computers and Fluids Journal Issue: C Vol. 162; ISSN 0045-7930

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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