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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Development and Use of LES for Diesel Engine CFD</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>Christopher J. Rutland Engine Research Center University of Wisconsin - Madison</institution>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>Large eddy simulation is a promising advancement for IC engine modeling. This requires appropriate models for a many physical processes. This paper classifies and briefly describes the major types of models for turbulence, combustion, and sprays. Representative references are listed with an emphasis on engine applications. Recommendations for modeling approaches to use in engine LES are also provided. Introduction LES Turbulence Models It is generally agreed that the next generation of The turbulence model in LES simulations is for turbulence modeling in computational fluid dynam- sub-grid stresses in the momentum equation. It is ics (CFD) for many applications will be some form the primary model in LES since it should allow for of large eddy simulation (LES) [1,2]. For the ap- flow structures in the solution. Table 1 classifies propriate applications, LES can offer significant the major approaches to LES turbulence models advantages over traditional Reynolds Averaged and briefly states advantages and disadvantages. Navier Stokes (RANS) modeling approaches. In This table does not list more esoteric but includes internal combustion (IC) reciprocating engines LES only modeling approaches that are likely to find can be used to study cycle-to-cycle variability, use in practical applications. provide more design sensitivity for investigating both geometrical and operational changes, and LES Combustion Models produce more detailed and accurate results. There There is a rich tradition of combustion modeling are also characteristics of IC engines such as inhe- [10] much of which has been adapted for engine rent unsteadiness and a moderately sized domain simulations. In many cases, users have simply that are well suited to LES. However, there can be taken RANS combustion models and used them many difficulties in using LES for the multi-phase, with LES turbulence models. This is a type of hybrreacting, turbulent flows in complex internal com- id approach and has proven useful. However, as bustion engine geometries. In addition, LES in IC LES use in engines matures, more attention is engines is new and there are potential uncertain- being given to either adjusting or even reformulatties and ambiguities since a generally accepted ing basic combustion models for use in LES. Table „best practice‟ is still developing. This report lists 2 classifies and briefly describes the major apcurrent LES models that could have application to proaches to combustion modeling that have either IC engines and briefly evaluates their suitability been used or could be used for engine CFD. and potential predictive capability for engine CFD. T4 Detached Eddy T3 Dynamic Smagorinsky</p>
      </abstract>
      <kwd-group>
        <kwd>Disadvantages</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Transport equations 0</title>
      <p>Model type TVuisrcbousleitnyt
T1 None Numerical
viscosity
only
T2 Smagorinsky Yes</p>
    </sec>
    <sec id="sec-2">
      <title>T5 k-equation LES T3 Dynamic Smagorinsky</title>
    </sec>
    <sec id="sec-3">
      <title>T6 Dynamic kequation LES T7 Dynamic Structure</title>
    </sec>
    <sec id="sec-4">
      <title>Refs.</title>
    </sec>
    <sec id="sec-5">
      <title>General Approaches and</title>
      <p>Specific Models
C1: Direct Integration
“CHEMKIN” or other</p>
      <p>stiff ODE integrator
P, D
P, D</p>
      <p>P
P, D
P, D</p>
      <p>Uses detailed kinetic
mechanisms; no special modeling
required.</p>
      <p>Better computational efficiency
for detailed chemistry. Uses
flamelet concepts to model
subgrid mixing (C4d).</p>
      <p>Simple; uses both kinetic and
turbulent time scales.</p>
      <p>Improves on Magnusson by
integrating towards current
equilibrium state.</p>
      <p>Flamelet approaches. Sound
mathematical descriptions.
Sound modeling of turbulence
effects on flame front.</p>
      <p>Similar to C4a for premixed
flames but reduces grid
resolution requirements.</p>
      <p>Similar to G-equation approach
(C4b) but uses the flame area
for a more physical description.
Can incorporate detailed
chemistry through flamelet library.
Uses prescribed PDF to model
subgrid mixing effects.</p>
      <p>Tries to improve on mixture
fraction models (C5d) by using
values from the reaction zone.
Provides direct closure without
models for reaction terms.
Ignores subgrid turbulence
effects. Better suited for
homogeneous combustion.</p>
      <p>Computationally expensive.</p>
    </sec>
    <sec id="sec-6">
      <title>Not really a CFD method</title>
      <p>since model is not applied to
each grid cell.</p>
      <p>Requires using same time
scales for all reactions within
individual grid cells.</p>
      <p>Still requires same time
scales.</p>
      <p>Transport equations require
modeling of scalar flux, source
terms, and sink terms.</p>
      <p>No detailed chemistry. Better
for high Reynolds number
flows. Requires high grid
resolution to resolve flame front
Not suited for detailed
chemistry. Requires model for
turbulent flame speed.
(similar to C4b)</p>
    </sec>
    <sec id="sec-7">
      <title>C5: PDF Transport</title>
      <p>LES Fuel Spray Models</p>
      <p>
        Until recently there has been little published
work on spray models for LES simulations. Most
simulations of applications have used existing
RANS type spray models with simple modifications
for use with LES turbulence and combustion
models. Most practical applications for IC engines
use the Lagrangian spray parcel methodology
originally developed for RANS approaches (see
Reitz [
        <xref ref-type="bibr" rid="ref14">21</xref>
        ]) in which the CFD grid is not resolved
around individual spray particles. In this context
the spray modeling issue is how to represent the
sub-grid interaction of the Lagrangian spray
particles with the continuous gas phase. This
interaction includes momentum transfer (e.g. drag),
kinetic energy transfer, heat and mass transfer
during evaporation, and models for atomization,
breakup, and collisions. This is a very extensive list
of complex physical processes that require
modeling. This is probably why most spray models
are extensions of RANS approaches and, only
recently, has work has been done on developing
new spray model formulations specifically for LES
applications.
      </p>
    </sec>
    <sec id="sec-8">
      <title>Model type RANS correlations</title>
    </sec>
    <sec id="sec-9">
      <title>S2 LES modifications</title>
    </sec>
    <sec id="sec-10">
      <title>S3 Volume of Fluid</title>
      <p>(VOF)
S4 Continuous phase,
non-particle models
(Full Eulerian)</p>
    </sec>
  </body>
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