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  • 8/13/2019 Yong_IAB

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    Predictive Modeling of Tool Wearin Hard Turning

    Yong Huang

    Advisor: Prof. Steven Y. Liang

    The G. W. W. School of Mechanical Engineering

    Georgia Institute of Technology

    Atlanta, Georgia

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    Introduction and motivation Hard turning process is defined as single point turning of

    materials harder than 50HRc and differs from

    conventional turning in: Workpiece material property

    Chip formation mechanism

    Cutting tool required

    Cutting condition applied

    It offers possible benefits over grinding process:

    Lower equipment costs Shorter setup time

    Reduced process steps

    High material removal rate

    Better surface integrity

    Elimination of cutting fluid

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    Challenging issues in hard

    turning technology The top issues to be solved in hard turning process:

    Tool wearTool wear Form accuracy

    Surface integrity

    Economic consideration

    Why tool wear: High cost of CBN cutting tool, which is generally applied in hard turning

    Cost of down-time for tool changing affects the economic justification ofhard turning

    What to do about tool wear: To find a relationship defining tool wear rate as the function of cutting

    condition and tool geometry for a given tool/work combination in hardturning

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    Factors influencing wear rate

    Tool materials composition CBN particle size and CBN content Binder materials

    Applied coating material and coating thickness

    Cutting condition Feedrate

    Depth of cut

    Cutting speed

    Tool geometry Rake angle for up-sharp tool

    Chamfer length and angle, rake angle for chamfered tool

    Hone radius, rake angle for honed tool

    Tool nose radius

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    Tool wear in hard turning Wear patterns in metal cutting

    Crater wear

    Flank wear Depth of cut notching

    Thermal shock crack

    Nose wear

    Chipping Tool breakage

    Built-up edge

    Wear mechanisms in metal cutting

    Abrasion Adhesion

    Attrition

    Fatigue

    Dissolution/diffusion Tribochemical process

    Wear pattern in metal cutting

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    Tool wear in hard turning (contd)

    Main wear patterns in hard turning

    Crater wear

    Flank wear

    Chipping: happens in aggressive cutting conditions

    Flank wear and crater wear are our interests in this studyFlank wear and crater wear are our interests in this study

    Main wear mechanisms in hard turning Abrasion: due to cementite and CBN particle (if have in high CBN

    tool) (Narutaki, et al., 1979; Davies et al., 1996)

    Adhesion: due to high temperature/stress along the tool/chip andtool/workpiece interfaces (Hooper, et al., 1988; Chou, 1994; Davies

    et al., 1996) Diffusion: binder material is not stable with iron due to high

    temperature (Narutaki, et al., 1979; Konig, et al., 1993)

    Tribochemical process: no convincible evidence yet

    Abrasion, adhesion, and diffusion are considered as basicAbrasion, adhesion, and diffusion are considered as basic

    mechanisms heremechanisms here

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    Objective of this researchCrater wear

    Flank wear

    To develop a scientific, systematic, and reliable methodology to

    predict the tool flank/crater wear ratestool flank/crater wear rates based on cutting conditioncutting condition

    and tool geometrytool geometry for given tool and workpiece material properties.

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    Modeling of flank wear rate

    2l

    R

    R

    R

    VBVBVB +

    A

    OB F

    G

    C

    E

    1l

    Worn flank face

    Flank face

    P

    P

    Cutting

    velocity

    P-P view

    Worn flank face

    Flank face

    Tool chamfer

    area

    1l

    2

    l

    3

    2

    1

    VB

    ( )[ ]

    ++

    +

    = +

    273

    1

    tan

    )tan(cotT

    K

    cdiffc

    aT

    adhesioncn

    t

    n

    aabrasion

    Q

    eVBVKVeKVBVP

    PKK

    VBRVB

    R

    dt

    dVB

    Abrasion Adhesion Diffusion

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    Modeling of flank wear rate (contd)

    Process

    modeling

    (Huang &

    Liang,

    2002a) Temperature

    model(Huang &

    Liang,

    2002b)

    Update

    mechanism

    Flank

    wear

    rate

    model

    Stress model

    (Huang &

    Liang, 2001)

    dt

    dVB

    T

    Material properties

    of workpiece &

    tool

    Cutting condition

    Tool geometry

    Process

    info.

    Updated VB

    Other process

    constants andcalibrated

    wear

    coefficients

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    Modeling of crater wear rate

    maxt

    Interested

    rectangular zone

    x

    feedf/2

    oomaxt

    dw

    Previous

    location of toolnose center

    Longest contact

    length due to

    maxt

    Interested

    rectangular zone

    x

    feedf/2

    oomaxt

    dw

    Previous

    location of toolnose center

    x

    feedf/2

    oomaxt

    dw

    Previous

    location of toolnose center

    Longest contact

    length due to

    x

    xxxxVeKxxVeK

    hxxV

    xP

    xPKK

    dt

    xdKchip

    xT

    K

    diffchip

    xaT

    adhesionchipn

    t

    n

    a

    abrasionT

    Q

    +

    ++

    = +

    )()()()(

    1)()(

    )(

    )()( 273)()(1

    Abrasion Adhesion Diffusion

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    Modeling of crater wear rate (contd)

    maxt

    Process

    modeling

    (Huang &

    Liang, 2002a)

    along the

    interested zone

    Chip velocity

    model Update

    mechanism

    Craterwear

    rate

    model

    dtdKT

    Material propertiesof workpiece & tool

    Cutting

    condition

    Tool

    geometry

    Temperature,

    stress, and

    chip velocitydistributions

    New

    crater

    profile

    Other process

    constants and

    calibrated

    wear

    coefficients

    Max. chip

    thickness

    model

    Normalstress

    model

    (Li,

    1997)

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    Calibration & validation of wear rate models

    Calibration of wear rate model

    Qdiffadhesionabrasion

    KKaKK,

    ,,, need to be calibrated

    Those coefficients depend on tool/workpiece combination.

    Calibration stepsCalibration steps Optimize the coefficients of wear rate model by minimizing the least

    square error between predicted and measured flank wear rates for threecutting conditions (v=1.520m/s, f=.0760mm/rev, doc=.203mm;v=2.29m/s, f=.168mm/rev, doc=.203mm; v=1.520m/s, f=.0760mm/rev,doc=.102mm; ) (Huang and Liang, 2002c)

    Validation stepsValidation steps Validate the flank wear rate model based on seven cutting conditions

    (Huang and Liang, 2002c)

    Validate the crater wear rate model based on three cutting conditions(Huang and Liang, 2002d)

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    Calibrated wear rate models Tool material: Kennametal KD050

    Workpiece material: hardened 52100, 62HRC

    ( )[ ]

    ++

    +

    =

    +

    273

    20460

    6100313.914

    1

    107204.5104761.10295.0

    tan

    )tan(cot

    4

    Tcc

    Tcn

    t

    n

    a eVBVVeVBVPPK

    VBRVB

    R

    dt

    dVB

    xxxxxVe

    xxVh

    e

    xxV

    xP

    xPK

    dt

    xdK

    chipT

    chip

    T

    chipnt

    n

    aT

    ++

    +

    =

    +

    )()(107204.5

    )()(1

    104761.1

    )()(

    )(

    )(0295.0

    )(

    273204606

    100313.914

    1

    4

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    Validation of flank wear rate model

    0 1 2 3 40

    50

    100

    150

    0 20 40 60 8020

    40

    60

    80

    0 10 20 30 400

    50

    100

    150

    200

    0 50 100 1500

    5

    10

    15

    20

    1 2 3 440

    60

    80

    100

    40 50 60 70 8010

    15

    20

    25

    Wear rate (m/min)

    0 5 10 150

    50

    100

    150

    Time (min)

    Flank wear length (m)

    0 50 100 1505

    10

    15

    20

    Flank wear length (m)

    (1) (1)

    (2) (2)

    (3) (3)

    (4)

    (4)

    0 1 2 3 40

    50

    100

    150

    0 20 40 60 8020

    40

    60

    80

    0 10 20 30 400

    50

    100

    150

    200

    0 50 100 1500

    5

    10

    15

    20

    1 2 3 440

    60

    80

    100

    40 50 60 70 8010

    15

    20

    25

    Wear rate (m/min)

    0 5 10 150

    50

    100

    150

    Time (min)

    Flank wear length (m)

    0 50 100 1505

    10

    15

    20

    Flank wear length (m)

    (1) (1)

    (2) (2)

    (3) (3)

    (4)

    (4)

    0 5 10 1540

    60

    80

    100

    120

    40 60 80 1000

    5

    10

    15

    0 20 40 600

    50

    100

    150

    200

    0 50 100 150 2000

    5

    10

    15

    0 20 40 60 800

    100

    200

    300

    Time (min)

    Flank wear length (m)

    0 50 100 150 2000

    5

    10

    15

    Flank wear length (m)

    Wear rate (m/min)

    (8)

    (B)

    (10)

    (10)

    (8)

    (B)

    0 5 10 1540

    60

    80

    100

    120

    40 60 80 1000

    5

    10

    15

    0 20 40 600

    50

    100

    150

    200

    0 50 100 150 2000

    5

    10

    15

    0 20 40 60 800

    100

    200

    300

    Time (min)

    Flank wear length (m)

    0 50 100 150 2000

    5

    10

    15

    Flank wear length (m)

    Wear rate (m/min)

    0 5 10 1540

    60

    80

    100

    120

    40 60 80 1000

    5

    10

    15

    0 20 40 600

    50

    100

    150

    200

    0 50 100 150 2000

    5

    10

    15

    0 20 40 60 800

    100

    200

    300

    Time (min)

    Flank wear length (m)

    0 50 100 150 2000

    5

    10

    15

    Flank wear length (m)

    Wear rate (m/min)

    (8)

    (B)

    (10)

    (10)

    (8)

    (B)

    Solid line: predictions

    Triangular: measurements

    Flank wear progression

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    Validation of crater wear rate model

    0 0.05 0.10

    0.2

    0.4

    0.6

    0.8

    Distance from tool tip (mm)

    Chipvelocity

    0 0.05 0.10

    500

    1000

    1500

    Distance from tool tip (mm)

    Normalstress(Mpa

    )

    0 0.05 0.1-0.2

    -0.15

    -0.1

    -0.05

    0

    Distance from tool tip (mm)

    Crater

    wearrate(um/min)

    0 0.05 0.1360

    380

    400

    420

    440

    460

    Distance from tool tip (mm)

    Temp

    erature(um/min)

    0 0.05 0.1

    -6

    -4

    -2

    0

    2

    Distance from tool tip (mm)

    Craterweardepth(u

    m)

    Time elapsed: 22.0 min

    0 0.05 0.1

    -15

    -10

    -5

    0

    5

    Distance from tool tip (mm)

    Craterweardepth(u

    m)

    Time elapsed: 44.0 min

    0 0.05 0.1-15

    -10

    -5

    0

    5

    Distance from tool tip (mm)

    Crater

    weardepth(um)

    Time elapsed: 66.0 min

    0 0.05 0.1-20

    -15

    -10

    -5

    0

    5

    Distance from tool tip (mm)

    Crater

    weardepth(um)

    Time elapsed: 88.0 min

    Cutting conditions:

    cutting speed: 1.52 m/s, feedrate: 0.076 mm/rev, depth of cut: 0.102 mm

    Solid line: predictions; dash line: measurements

    Crater wear progressionProcess information & crater wear rate

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    Summary:

    Abrasion, adhesion, and diffusion in hard turning areconsidered as the main wear mechanisms for theprogressive tool wear. The total tool wear rate iscontributed from abrasion, adhesion, and diffusionmechanisms.

    The progressive tool flank/crater wear can be modeledas the function of cutting condition and tool geometry fora given tool/workpiece combination in a reasonableaccuracy in hard turning.

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    0 10 20 30 40 50 600

    20

    40

    60

    80

    100

    Time (min)

    Percentageofea

    chmechanism Abrasion

    Adhesion

    Diffusion

    0 2 4 6 8 100

    10

    20

    30

    40

    50

    60

    70

    80

    90

    Time (min)

    Abrasion

    Adhesion

    Diffusion

    General cutting condition (#10) Aggressive cutting condition (#4)

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    Hardened 52100

    steel washerDynamometer

    CBN tool insert

    Pin-on-diskGoal: to identify the wearcoefficients under semi-sliding conditions without

    the effect of diffusionwear.