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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    WRT_2012; IIT Chennai; 23/11/12 24/11/12

    Computational Modeling of FusionWelding Process State of the art

    Amitava DeMechanical Engineering Department, Indian Institute of Technology Bombay, India

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Outline

    Why Process Models are important in Welding ?

    How do these models lack reliability ?

    What is referred to as Integrated process model ?

    How integrated models can serve as real design tool ?

    What are the future challenges ?

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Why process models are important in welding?

    1 mm

    Weld geometry

    High peak temperature

    Rapid change in thermal cycle

    Continuous change in S-L boundary

    Addition of filler material (if required)

    Experiments provide with thefinal weld dimensions.

    Experiments convey very littleabout evolution process of theweld pool.

    Melt pool

    Heat affectedzone

    Solidifiedzone

    HeatSource

    W

    P

    Weldingspeed

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Experiments alone can be a Puzzle

    5200 W

    (a) (b)

    20 ppm sulfur 150 ppm sulfur

    1900 W

    (d)(c)

    * Minor changes in composition => major changes in geometry

    * Does not always happen!

    W. Zhang, et al., Per.Comm. (2003).

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    So, what do we expect from process models?

    Welding involves interactions of many physical processes which are

    affected by several parameters such as,

    Physical Processes

    Heat Transfer

    Fluid Flow

    Deformarion

    Phase Change

    Evaporation

    Diffusion

    Welding Parameters

    Work Piece Dimensions

    Weld Joint Geometry

    Current, Voltage, Speed or Time

    Preheat and Inter-pass Temperature

    Material and Shielding Gas

    Welders Technique

    We need

    - fundamental understanding of the welding process and,

    - to provide candidate conditions for a target weld attribute.

    (e.g. joint dimensions, cooling rate, controlled defects, etc.)

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    What are the real task of process models?

    Solving a set of Conservation and Constitutive Laws along with realisticboundary conditions to compute temperature, velocity and deformation.

    Thermal Energy

    Conservation ofMomentum

    Conservation of

    Mass

    j

    i

    i

    j

    ijjij

    ij

    ji

    i

    jx

    u

    x

    uwhereFxx

    Puux

    ut

    ijij

    k

    kp

    mm

    px

    TuC

    x

    Tk

    xt

    TC

    0x

    u

    m

    m

    Static forcebalance

    )}G3/H(1{

    dG3)TT()G23()d()d(G2d

    x

    dx

    x

    dx

    2

    1d;

    )2)(1(1

    E;

    )2(1

    EGwhere0F

    x

    2

    kl

    d

    kl

    d

    ij

    refijijijijij

    i

    j

    j

    iiji

    j

    ij

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Governing Equations need Boundary Conditions

    2

    eff

    2

    2

    eff

    2

    2

    eff

    sryd-

    rxd-exp

    rdPq

    X

    Y

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Computed results must be validated !!!

    Nd-YAG Laser Spot Weldingof low carbon steel.Beam diameter = 1.3 mmBeam power = 1.6 kW

    after 10 ms

    after 14 ms

    Assumed parameters:

    = 0.37d = 3.0

    keff = 108.0 W m-1

    K-1

    = 0.07 kg m-1 s-1

    S. Bag and A De, Int. J. of Thermal Science, 2009

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Fitting of uncertain variables is challenging

    Modeling results do not always agree with experimental results- lack reliability, mainly due to the uncertain input variables.

    Input variables

    Current, Voltage, Speed,

    Work Piece Dimensions,

    and Material properties.

    Process Model

    Equations of conservation

    of mass, momentum and

    energy, constitutive eqns

    Results

    Weld geometry, Cooling

    rate, Micro-structure,

    Mechanical properties

    ?

    Current models usually need strong domain knowledge for fitting of

    uncertan parameters - not helpful in design for welding.

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    An Approach to Integrated Modelling

    1Process model for welding

    considering physical laws

    Integrated Model that can learn

    +

    Optimizer (e.g. GA)

    (Finds uncertain parameters)Improve

    reliability

    2

    Experimental data

    Compare

    Calculate weld

    attribute

    (geometry,

    cool ing rate..)

    Test

    reliability

    5Targetweld

    attribute(s)

    Compare

    Different combinations

    of welding variables

    (I, V, U) that g ive a

    specified weld attribute

    Test

    ability to

    tailor weld

    attributes

    4Genetic

    algorithm+

    Develop

    ability to

    tailor weld

    attributes

    Reliable Process

    Model

    3

    6Verify withselected

    experiment

    Compare

    Select best set based

    on peak temp., cooling

    rate, distor tion and

    residual stress

    Final

    Design

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    An Approach to Integrated Modelling

    M

    1m

    2

    m

    M

    1m

    2

    m

    M

    1m

    2

    EXP

    m

    EXP

    m

    CAL

    mM

    1m

    2

    EXP

    m

    EXP

    m

    CAL

    m

    ]1W[]1P[

    W

    WW

    P

    PPfO

    321 fff}f{

    For optimizer, we have used

    real parameter GA with PCX

    operator and G3 Generationmodel*

    Uncertain Input Set

    Objective Function

    (P: penetration; W: weld width;CAL: Calculated thru model;EXP: Corresponding measured)

    *K. Deb, A. Anand, and D. Joshi, Evolutionary Computation, 10 (4), 371 395, 2002.

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Application of Integrated Modelling in GTAW

    M

    1m

    2

    m

    2

    m

    M

    1m

    2

    EXPm

    EXP

    m

    CAL

    m

    2

    EXPm

    EXP

    m

    CAL

    m )1W()1P(W

    WW

    P

    PPfO

    flS

    eff

    r

    b4321

    k

    k

    e

    rkrfffff

    Initial candidate solutions

    Initial Performance

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Application of Integrated Modelling in GTAW

    Optimum Values of

    Uncertain Parameters

    = 0.53

    rb = 1.98 mmkeff= 245.5 W.m

    -1.K-1

    = 0.07 kg.m-1.s-1

    120 A, 11.6 V, 5.0 mm.s-1

    After 13 Generations

    120 A, 11.6 V, 5.0 mm.s-1 140 A, 11.0 V, 5.0 mm.s-1

    200 A, 13.8 V, 7.0 mm.s-1 180 A, 12.3 V, 9.0 mm.s-1

    S Bag, A De, T DebRoy, Mat. &Mfg. Proc., 2010.

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Modelling of Heat Source

    Conduction heat transfer based models cannot undertake greater rate of transport

    of heat in the growing weld pool. Use of a volumetric heat source term can surpass the shortcoming due to the

    neglect of convective transport of heat to a certain extent.

    Assigning volumetric heat source dimensions remain as a challenge.

    A novel approach can be an adaptively defined volumetric heat source term.

    i

    i

    i

    2

    2

    2

    2

    2

    2volwDE

    pc2

    wb

    la

    wherec

    z3

    a

    y3

    b

    x3exp

    abc

    Pf36z,y,xQ

    Spot welding Linear Welding

    Y

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Use of Adaptive Volumetric Heat Source

    25 % effective load

    100 % effective load

    75 % effective load

    50 % effective load

    Computed weld pool is adapted as heat

    source in successive load-steps.

    % of effective load

    25 50 10075

    Desired weld width

    Width(mm)

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Use of Adaptive Volumetric Heat Source

    0.2 s

    0.3 s

    0.4 s

    0.5 sOn-time (s)

    0.2 0.3 0.50.4

    Desired weld penetration

    Penetration(mm

    )

    Computed weld pool is adapted as heat

    source in successive time-steps.

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Modelling deposition process is always difficult

    Kiran et al., Welding in the World, 2012

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Estimate volumetric heat source terms a-priori

    The volume of the semi ellipsoidal heat source utilized to heat the base

    metal is

    Ui is the unfilled volume of the V-groove beneath either the lead or the

    trail wire and the same is given by ULE and UTR

    [1] [2]

    [3] [4]

    aLE, bLE, aTR, bTR and hTR refers to the semi major, semi minor axis of the lead

    and trail wire heat sources and the reinforcement height respectively

    Kiran et al., Welding in the World, 2012

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Apply for a complex welding process

    All dimensionsare in mm

    300

    90 90 90 90

    780

    8.5

    25

    180

    450

    400

    Kiran et al., Science & Technology of Welding and Joining, 2012

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Apply for a complex welding process

    The dimensions of the

    volumetric heat source is

    estimated either by

    numerical experiments or

    with the knowledge of

    final weld dimensions tilldate

    Simple energy balance

    principle is used to

    estimate the dimensions

    of the volumetric heatsources corresponding to

    leading and trailing arcs

    Kiran et al., ISIJ International, 2011

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Validate computed results

    Kiran et al., ISIJ International, 2011

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Conclusions

    Although transport phenomena based weld pool models can

    undertake greater physical phenomena, the conduction heat

    transfer based models have come a long way to also provide a

    sound recourse to weld pool simulation..

    In contrast to a typical surface heat flux to represent the

    welding arc, the consideration of the same through a volumetric

    heat source has emerged as numerically rewarding.

    Defining volumetric heat source either analytically as function of

    welding conditions and original joint geometry, or in an adaptive

    manner is an ideal roadmap for conduction heat transfer based

    weld pool models to be predictive in true sense.

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Conclusions

    The proposed methods do not need any a-prioriassumption of the heat source dimensions and rather allow

    the heat source to get mapped with the actual evolution of

    weld pool as it occurs in real-time.

    The predicted weld pool shapes and thermal cycles

    following the volumetric sources, as proposed in this work,

    has been extensively validated for a number of welding

    processes and conditions.

    Further evaluation of the same approach is needed in

    other fusion welding processes.

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    Mechanical Engineering

    Department; Indian

    Institute of Technology

    Bombay

    Acknowledgement

    All the results presented here are from the work my PhD students and in particular,

    I wish to thank Dr. Swarup Bag (currently a faculty at IIT Guwahati) and Dr. Kiran

    (currently a Post-doc at KAIST, South Korea).

    Thank you