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Air Cleaner Systems

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  • 7/31/2019 Air Cleaner Systems

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    Transient Dust LoadSimulation

    for Air Cleaner Systems

    Dr. Bernhard Huurdeman,MANN+HUMMEL GMBH

    3rd EACC, July 05/06, 2007, Frankfurt

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    2refer to protection notice ISO 16016

    Steady state flow simulation of air cleaners

    Modeling of pleated filter elements

    Simulation method for transient dust load

    Examples

    Application of the new Fluent 3-Volume Method

    to compact filter elements

    Summary

    Contents

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    MANN+HUMMEL Automotive Products

    Plastic components for air induction systems

    air intake manifolds

    air cleaner

    turbo ducts

    cylinder head covers

    Air and liquid

    filtration systems

    Crankcase ventilation

    dirty air side

    clean airside

    pleated filter element

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    Steady state 3-D flow simulation

    Accurate geometry representation

    Calculation of pressure loss

    Improve geometry where possible

    Flow Simulation of Air Cleaners

    clean air housingclean air pipe

    dirtyair pipe

    dirty air

    housing incl.filter element

    resonator

    filter element

    as anisotropicporous media

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    Point 1

    Point 5

    Point 4

    Point 3

    Point 6

    Point 2

    Simulation Results for Unloaded Filter Element

    0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    fresh air

    pipe 1

    fresh air

    pipe 2

    fresh air

    pipe 3

    fresh air

    housing

    filter

    element

    clean air

    housing

    clean air

    pipe

    s

    taticpressuredifference[kPa]

    measurements

    simulation

    static pressure [kPa]

    1 2 3 4 5 6

    system pressure lossmeasurements: 1.85 kPasimulation: 1.80 kPa(filter element: 0.33 kPa)

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    Exact geometry of all element

    pleats can not be simulated

    Filter element as anisotropic

    porous media

    Constant porous media coefficients

    dependent on pleat size and media Pressure loss dependent on

    viscous loss and inertia loss

    coefficients C1 and C2

    Modeling of Filter Element

    vbp 1C/ =2

    2C

    2

    1v+

    b

    C1 and C2 can bedetermined by

    measurements or

    by simulation

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    Determination of Porosity Coefficients

    2-D flow simulation of pleat geometry

    Result is C1 and C2 in main flow direction

    C1 and C2 parallel and perpendicular toelement pleats can be determined by simple

    analytical formulas

    Standardized simulation using

    Web-application tool (EASA)

    velocitygrid

    inlet

    outlet

    filter mediaas isotropic

    porousmaterial

    main flowdirection

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    Pressure loss of flat filter media

    depends on dust loading

    This information is required for

    each combination of dust and

    filter media

    0

    5

    10

    15

    20

    25

    30

    35

    40

    45

    0 5 10 15 20 25 30

    added mass of dust ISO fine [g]

    in

    creaseinpressu

    reloss

    [mbar]

    )( dustmedia Cfp =

    mediadustdust AmC /=

    Dust Load Measurements of Flat Filter Media

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    EASA Web-Tool Simulation of pressure loss of the

    filter element with increasing

    amount of dust, by increasing the

    filter media pressure loss.

    Simplification: Element pleat is

    loaded homogenously

    Result: C1 and C2 as a

    function of separated dust

    0.0

    500.0

    1000.0

    1500.0

    2000.0

    2500.0

    0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0

    volume flow [m/min]

    totalpressureloss[Pa]

    Total pressure loss pleat Total pressure loss medium

    0.0

    1000.0

    2000.0

    3000.0

    4000.0

    5000.0

    6000.0

    7000.0

    0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0

    volume flow [m/min]

    totalpressureloss[Pa]

    Total pressure loss pleat Total pressure loss medium

    0.0

    100.0

    200.0

    300.0

    400.0

    500.0

    600.0

    0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0

    volume flow [m/min]

    totalpressureloss[Pa]

    Total pressure loss pleat Total pressure loss medium

    ),( airmediaelement mpfp &=

    p pleat

    p medium

    2-D Simulation of Dust Loaded Pleats

    )(2,1dust

    CfCC =

    C1, C2 for Fluent

    0.0E+00

    5.0E+08

    1.0E+09

    1.5E+09

    2.0E+09

    2.5E+09

    3.0E+09

    dust concentration [kg/m]

    C1[1/m2]

    0

    50

    100

    150

    200

    250

    300

    C2[1/m]

    C1

    C2

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    Dust Load Distribution on the Filter Element using

    Particle Tracking for different Particle Diameter

    1 m 3 m10 m

    30 m

    0.00

    0.50

    1.00

    1.50

    2.00

    2.50

    3.00

    3.50

    4.00

    0.100 1.000 10.000 100.000

    particle size [m]

    volume[%]

    PTI fine dust

    3 m

    32 %

    1 m

    20 %

    10 m

    24 %

    30 m

    24 %

    particle size:

    mass

    vol %:

    ISO fine dustis modeledusing fourdifferent

    particle sizes

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    The element surface is divided into

    approx. 15x15 rectangles. Then, cuboids

    are defined between inlet and outlet face.

    Amount of dust in each cuboid is

    computed using a particle tracking method

    Porous media coefficients

    are determined from the interpolated

    local amount of mass of dust

    Transient Simulation with particle trackingfor every 10th time step. Then update of

    the porous media coefficients

    See also SAE paper 2006-01-1316

    rectangle

    cuboid

    )(,21 dust

    CfCC =

    C1, C2 for Fluent

    0.0E+00

    5.0E+08

    1.0E+09

    1.5E+09

    2.0E+09

    2.5E+09

    3.0E+09

    dust concentration [kg/m]

    C1[1/m2

    ]

    0

    50

    100

    150

    200

    250

    300

    C2[1/m]

    C1

    C2

    3-D Simulation Method for Element Loading

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    3-D Simulation of Dust Loaded Element

    dust distribution in the filter element with10x15 cuboids (here: 400 tets per cuboid). interpolated dust distribution

    interpolateddistribution ofC1 and C2(good

    convergencebehaviour)

    C1

    C2

    cuboid

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    Example: Dust Distribution at End of Simulation

    10 m 30 m

    1m 3 m

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    0

    2

    4

    6

    8

    10

    12

    14

    16

    18

    20

    0 50 100 150 200 250 300

    dust load per filter surface area [g/m]

    pressureloss[mbar]

    filter element

    air cleaner

    Example: Animation of dust and velocity

    velocity normal to element accumulated dust

    pressure loss offilter element andair cleaner

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    Air Cleaner Simulation with Different Types of Dust

    0

    10

    20

    30

    40

    5060

    70

    80

    90

    100

    1 10 100

    particle size [m]

    volumesum

    [%]

    PTI fine

    SF500 4 m

    SF300 10 m

    W6 40 m

    Cumulative Volume

    SimulationGrid

    Three different types of dust with mean

    particle diameter of 4, 10, and 40 m

    Measurements of flat filter media and of

    complete air cleaner

    dust concentration

    increaseinp

    ressureloss

    4 dust

    10 dust

    40 dust

    Measured Pressure loss on flat filter media

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    small particle size large particle size

    halfloaded

    fullyloaded

    Air Cleaner with Different Types of Dust

    mass ofdust

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    Air Cleaner with Different Types of Dust

    small particle size

    large particle size

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    no load half load full load

    0

    5

    10

    15

    20

    25

    0 20 40 60 80 100 120 140

    dust concentration [g/m]

    pressureincreas

    e[mbar]

    Test 4mu

    Test 10 mu

    Test 40 mu

    Simulation 4 mu

    Simulation 10 mu

    Simulation 40 mu

    Air Cleaner with Different Types of Dust

    Good correlation of pressure

    loss increase, but strongly

    dependent on dust modeling.

    Velocity near air mass meter

    helps to evaluate the influence

    of the dust load during element

    life time

    4 m

    10 m

    40 m

    Here, a nearly dust

    load independentvelocity distributionshows an uncriticalinfluence of the dustload on the air mass

    meter signal.

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    Filter Element Modeling for Compact Elements

    Instead of pleats, compact filter elements

    consist of long alternately closed channels

    The assumption, that the dust will distribute

    homogenously along the channel, is here

    not applicable anymore.

    The usage of an isothermal and dust sizedependent version of the Fluent 3-Volume model

    for DPF is assumed to be an attractive approach.

    porous media source termsdirty air

    clean air

    V1

    V2dirty air clean air

    three overlappingvolumes with equal grids

    Using source terms, the dirty and

    clean air mass is exchangedbetween the two volumes.solid

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    Velocity Distribution and Dust Load with the

    3-Volume Model

    filter elementvelocity distributiondirty air volume

    velocity distributionclean air volume

    dust distribution7 %

    dust load

    100 %

    dust load

    scale

    5 - 15 %

    scale90 -110 %

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    A flow simulation method for air cleaner systems has been presented which

    takes dust loading into account during the lifetime of a filter element.

    When compared to measurements, simulation produced reasonably accurate

    dust distribution in filter element surface.

    The simulation method will be useful to improve air cleaner design regarding

    the quality of the air mass meter signal during element life time.

    Furthermore, the dust hold capacity of air cleaner systems can be compared,

    which will help to find the most suitable design variant.

    The new 3-volume method developed by Fluent is a promising approach

    especially for compact filter elements. The possibility to simulate an inhomogeneous dust distribution along the main

    filter direction, may also improve the dust load simulation method for pleated

    filter elements.

    Summary


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