Download - S. S. Pandurangi* N. Frapolli D. Farrace DIESEL …...Pandurangi, Frapolli, Bolla, Boulouchos & Wright. Influence of EGR on Post-Injection Effectiveness in a Heavy-Duty Diesel Engine

Transcript
  • DIESEL ENGINES AND SPRAYS COMBUSTION MODELLING

    0 0.1 0.2 0.3 0.4η [−]

    0

    5

    10

    15

    20

    β−P

    DF

    [−]

    823K, 50bar, Bikas, initial turbulence 2

    , k, ,

    ,PP,t

    n

    i ii 1

    h h T Y

    STAR-CD

    CMC code

    solve flow fieldand compute CMC

    “parameters”:

    2P P , ,

    solve species and enthalpy equations in physical and conserved scalar space

    1

    0i iY Y P d

    return mean values by weighting with presumed -PDF

    0 0.1 0.2 0.3 0.4η [−]

    250

    500

    750

    1000

    1250

    1500

    1750

    tem

    pera

    ture

    [K]

    823K, Bikas, with initial turbulence

    Enhancement of soot oxidation rate - order of magnitude enhancement at high EGR (larger soot volume) - caused by additional locally available oxygen - soot evolution of the low-EGR case shows an initial increase due to ad-

    ded fuel, but subsequent drop due to improved oxidation

    O2 difference (normalised by the O2 distribution of the single-injection case) shows an accumulation of O2 at the tip of the post-injection being pushed into the main flame.

    -100 %

    0 %

    -100 %

    0 %

    -100 %

    -100 %

    100 %

    -100 %

    1100 %

    -100 %

    4135 %

    231431!5"6

    -100 %

    0 %

    -100 %

    0 %

    -100 %

    15 %

    -100 %

    100 %

    -100 %

    200%

    -100 %

    60%

    10°

    11°

    12°

    13°

    14°

    9- !6",

    15 %

    18% O2 12.6% O2

    -100 %

    1200 %

    0.07

    2000

    6.2

    1.7

    0.5

    0.4

    0.15

    0.13

    2200

    6.3

    1.8

    12

    12

    0.3

    Single Post

    MixtureFraction

    Temperature[K]

    Soot volume fraction [ppmv]

    Soot formation[1/s]

    Soot oxidation[1/s]

    Soot oxidationby O2 [1/s]

    Soot oxidationby OH [1/s]

    0.07

    2400

    2.5

    0.25

    1.25

    0.4

    0.9

    Single

    0.13

    2600

    3.9

    1

    2.5

    2.2

    0.9

    Post

    MixtureFraction

    Temperature[K]

    Soot volume fraction [ppmv]

    Soot formation[1/s]

    Soot oxidation[1/s]

    Soot oxidationby O2 [1/s]

    Soot oxidationby OH [1/s]

    2

    2

    1j j

    j j

    Q Q Qu N w u y Pt x P x

    j tj

    Qu y Dx

    , ,Tw Q Q P

    2t

    j jj

    Du ux

    Gradient flux

    Linear model for conditional velocities

    First order closure for the source terms

    211

    0

    exp 2 2 12 G

    N erfG P d

    AMC model for thescalar dissipation rate

    0 0.2 0.4 0.6 0.8 1eta [-]

    0

    10

    20

    30

    40

    50

    CH

    I [1/

    s]

    AMC model

    S. S. Pandurangi* N. Frapolli D. Farrace M. Bolla Y. M. Wright K. Boulouchos*

    Influence of EGR on Post-injection Effectiveness in a Heavy-duty Diesel Engine

    IntroductionSoot particles emitted by diesel engines are dan-gerous for the enviroment and for living organ-isms. Emission legislation around the world is be-coming increasingly stringent, demanding better understanding of the physics of soot formation to design countermeasures. One such measure being heavily researched is the addition of a small fuel post-injection. In this numerical study based on data from a heavy-duty research diesel engine [1], we investigate the effect of post-injection on soot evolution and governing processes, and the influence of exhaust gas recirculation on the in-teraction between post- and main- injections.

    Soot model: two-equations model [6]

    CFD modelCFD computational setup:

    • Commercial CFD code STAR-CD [2]• 2D grid with 1.0 mm mesh size• k-epsilon turbulence model, wall functions• Euler-Langrange approach for droplets• Coditional Moment Closure (CMC) combus-

    tion model [3]• Reduced mechanism for n-heptane [5]• Two-equations soot model [6]• Optical-thin soot radiation model [7]• Soot differential diffusion effects neglected

    (Le=1)

    Experimental setup [1]

    Solve transport equations for soot mass fraction and soot number density (Le=1):

    Source term soot mass fraction:

    Source term soot number density:

    211004

    2 2ω 10 [ ] TINCP C H e−

    =

    121003

    2 2ω 6 10 [ ] TSUR GROW sootC H e A−

    = ⋅ ⋅

    2

    190004

    2ω 10 [ ]OT

    OXID sootO e T A−

    = ⋅ ⋅

    ω 0.36[ ]OHOXID soot

    OH T A= ⋅ ⋅

    ( )1 1

    111 12 662 6

    24 6ω 3COAG S SS A S

    R T Y NN

    ρρ πρ

    = −

    nnP P→

    (1) Particle inception:

    (2) Particle surface growth( ) ( ) ( )2 2 22S SC H nC n C H+ → + +

    (3) Particle oxidation by O2:

    (4) Particle oxidation by OH:

    (5) Particle coagulation:

    ( )2 2 22 SC H C H→ +

    ( ) 21

    2SC O CO+ →

    ( )SC OH CO H+ → +

    ACETYLENE

    PRODUCTS

    Nucleation (1)

    Coagulation (5)SurfaceGrowth

    (2)

    Surface oxidation (3-4)

    FUEL

    Reduced n-Heptanemechanism (0)

    ( ) ( )2

    2

    1i i

    i i

    Q Q Qu N u Y P wt x P xα α α

    α αη η ρ η η ηη ρ η∂ ∂ ∂ ∂ ′′ ′′+ − + = ∂ ∂ ∂ ∂

    2, , , ,S S S S SY Y inception Y growth Y oxidationO Y oxidationOHw w w w wη η η η η= + + +

    , ,S S SN N inception N coagulationw w wη η η= +

    Soot model accouts for simultaneous soot particle inception, surface growth, oxidation by O2 and OH and coagulation

    Governing equations [3]

    4 44RAD soot Wallw T Tη σα η = − −

    First order closure for source terms

    Linear model for conditional velocity

    Gradient flux

    AMC model for scalar dissipation rate

    Optically-thin radiation model [7]12370SOOTsoot V

    f TmK

    α = ⋅ ⋅

    References

    Acknowledgements

    [1] O‘Connor, J. and M. Musculus. International Journal of Engine Research, 2013.

    [2] CD-adapco, STAR-CD v4.16, 2010.[3] A. Y. Klimenko and R. W. Bilger. Progress in Energy

    and Combustion Science, vol. 25, pp. 595-687, 1999.[4] Y. M. Wright, et al. Combustion and Flame, vol. 143,

    pp. 402-419, 2005.[5] S. L. Liu, et al., Combustion and Flame, vol. 137, pp.

    320-339, 2004.[6] K. M. Leung, et al. Combustion and Flame, vol. 87,

    pp. 289-305, 1991.[7] J. F. Widmann. Combustion Science and Technology,

    vol. 175, pp. 2299-2308, 2003.[8] Bolla, M., et al. International Multidimensional En-

    gine Modeling Users‘ Group Meeting 2014

    Funding• Competence Center for Energy and Mobility

    (CCEM-CH) project “In-cylinder emission re-duction for large diesel engines”

    • Swiss Federal Office of Energy (BfE)

    Engine heat release and flowfield validation

    Soot formation and oxidation processes

    Engine parametersbore: 140 mm (VH=2.34 L)CR=11.2(geom.), 16(sim.)swirl ratio: 0.5injector: 8 x 0.131 mmfuel: n-heptaneMeasurement techniquespressure & AHRR2D natural luminosityplanar LII

    Multiple Injections [8]10 5 0 5 10 15 20

    0

    50

    100

    150

    200

    250

    300

    Crank angle [degCA]

    AH

    RR

    [J/d

    eg

    CA

    ]

    15 10 5 0 5 10 15 20 25

    0

    50

    100

    150

    200

    250

    Crank angle [degCA]

    AH

    RR

    [J/d

    eg

    CA

    ]

    10 5 0 5 10 15 20

    0

    50

    100

    150

    200

    250

    300

    Crank angle [degCA]

    AH

    RR

    [J/d

    eg

    CA

    ]

    10 5 0 5 10 15 20

    0

    50

    100

    150

    200

    250

    Crank angle [degCA]

    AH

    RR

    [J/d

    eg

    CA

    ]

    21% O2 18% O2

    12.6% O215% O2

    +12 °CA

    +16 °CA

    +15 °CA

    +14 °CA

    +13 °CA

    Expt. Soot NL CFD Integrated FvS

    Pandurangi, Frapolli, Bolla, Boulouchos & Wright. Influence of EGR on Post-Injection Effectiveness in a Heavy-Duty Diesel Engine Fuelled with n-Heptane. SAE 2014-01-2633.

    Relative oxygen field for the post-injection case compared to the single-injection case

    Soot-quantities for single- and post-injection

    at high EGR (12.5% O2) at low EGR (18% O2)

    -10 -5 0 5 10 15 20 25 30 35 40Crank angle aTDC [deg]

    0

    0.08

    0.16

    0.24

    0.32

    0.4

    Soo

    t mas

    s in

    cyl

    inde

    r [m

    g] SinglePost

    Soot evolution at low EGR (18% O2)

    • very good accuracy maintained considering the large dilution spread

    • overestimations of AHRR of the main injection strongly influence the ignition and heat release from the ‹sensitive› post-injection

    • excellent prediction of the positi-on of the post-injection soot with respect to penetration and orien-tation

    • impingement on the wall and subsequent curling qualitatively well captured

    Interfacing of CFD and CMC code [4]:

    Multiple injections using a single total mixture fraction (MFT) as the conditioning scalar.re-initialisation of conditional tempe-rature and composition in every CMC cell at the time of the first appea-rance of MF from post injection (MF2) constraint: MF1 + MF2 = MFT