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25Oct13 Modelling

Jun 04, 2018

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    Role of Models in DesignRole of Models in Design

    Course on

    Systems Engineering

    for

    CASDE, Aero. Dept., IIT Bombay

    ostgra uate tu ents o

    25th October, 2013

    Defence Institute of Advanced Technology, Pune

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    Role of ModellingRole of Modelling

    In system design, an important aspect of requirements

    validationis the act of generating theexpected behaviour

    of the system, sub-system oreven component.

    Inconceptual design phase(i.e. phase involving concept

    generation and selection) analyzing the performance or

    CASDE, Aero. Dept., IIT Bombay

    .It is important to note that while solving the design

    problems, it is necessary to take decisions and make

    choices thatdepend on the behaviour.Therefore, it is necessary to setup problems whose

    solution results inparametersthat characterize behaviour.

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    Role of ModellingRole of Modelling

    Modelling is that task, which helps thesystems engineer

    to set up the specificproblem that needs to be solvedfor

    arriving at thedesired behaviour patterns.

    Models arethose descriptions of each design(or concept)

    that are detailed just enough so that performance

    CASDE, Aero. Dept., IIT Bombay

    .Modelling is the processthat helps the systems engineer

    to arrive at such descriptions of the system/sub-system

    under consideration.In general,modelling involves the representationof the

    physical aspects of a systemthat govern its behaviour.

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    System Behaviour Generation ProcessSystem Behaviour Generation Process

    Given below is the overall task of generating the

    behaviourof any system.

    CASDE, Aero. Dept., IIT Bombay

    Laws of natureplay an important rolein this process.

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    Generic Issues in Modelling

    CASDE, Aero. Dept., IIT Bombay

    To Model

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    Issues in Modelling

    From Reality

    CASDE, Aero. Dept., IIT Bombay

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    Modelling and Model Definitions

    Model is;

    an imitation of reality in terms of those

    quantitative featuresthat describe theoperationof any given system.

    CASDE, Aero. Dept., IIT Bombay

    o e ng s;an act of translating real world into a form that

    can be studied in detail, for (1) gaining insight

    into the real world as it exists, (2) making anassessmentof its behaviour or (3)controllingits

    behaviour.

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    Modelling ProcessModelling Process

    Since models can include several different types ofinformation, it is important for adesigner to be awareof

    the variety possible in themodelling process.

    For example,a physical modelis the most common formthat most of us think whenever model is mentioned. It

    can befrozen in timeor can bearticulatedthrough joints.

    CASDE, Aero. Dept., IIT Bombay

    Models canalso be design sketches, assemblydrawingsetc. that help inresolving interferencesetc.

    Models can also exist as mathematical equations that

    describecharacteristics of productor system of interest.Models can also be a combination of geometric and

    functionalrepresentation.

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    Modelling Scenarios: Nuclear Reactor Burst

    CASDE, Aero. Dept., IIT Bombay

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    Nuclear Reactor Burst Model

    CASDE, Aero. Dept., IIT Bombay

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    Modelling Scenarios: Compressor Cutsection

    CASDE, Aero. Dept., IIT Bombay

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    Compressor Pressure Model

    CASDE, Aero. Dept., IIT Bombay

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    Modelling Scenarios: Coal Power PlantModelling Scenarios: Coal Power Plant

    CASDE, Aero. Dept., IIT Bombay

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    Schematic Model of Coal Power PlantSchematic Model of Coal Power Plant

    CASDE, Aero. Dept., IIT Bombay

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    Modelling Scenarios: Mathematical Model

    CASDE, Aero. Dept., IIT Bombay

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    Modelling Scenarios: Response Based Model

    CASDE, Aero. Dept., IIT Bombay

    1st

    order system. Unit stepinput. Proposed model:

    dc(t)/dt+(1/T)c(t)=u(t)

    2nd order system. Unit step

    input. Proposed model:

    d2c(t)/dt2 + 2 dc(t)/dt + 2

    c(t) = u(t)

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    Model TypesModel Types

    Models can be of various types, depending on the purposeof such models.

    Models can either be descriptive (for communicating

    ideas) orpredictive(for generating behaviour).

    Models can also be (1)static/dynamic, (2)deterministic/

    CASDE, Aero. Dept., IIT Bombay

    , .

    In general,real world problemsare such that models are

    usuallydynamic as well as probabilistic.

    Iconic modelsare those that look like the real system butare only ascaledrepresentation.Analogmodels are based

    on similitude.Symbolic modelsare the most general ones.

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    Modelling Procedure

    CASDE, Aero. Dept., IIT Bombay

    Validation Model Building

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    Model Creation Guidelines

    Identify the system, its boundary and environment

    Identify sub-systemsand establish all interactions

    Identify laws/processesgoverning the operations

    Choose a model philosophy(Mathematical, Physical )

    CASDE, Aero. Dept., IIT Bombay

    ,

    & Energy as basic quantities)

    Set up continuity & compatibility Conditions

    (Boundary conditions; Interfaces)

    Create idealized elements & their constitutive

    relations.

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    Idealized Elements Mechanical

    Spring/Stiffness Mass/Inertia Damping

    CASDE, Aero. Dept., IIT Bombay

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    Idealized Elements Electrical

    Sources Resistance/Inductance/Capacitance Magnetic

    v iR

    Resistance

    Element

    Ca acitance

    v = i R

    Voltage Source

    Current

    CASDE, Aero. Dept., IIT Bombay

    C

    Element

    InductanceElement

    v = C i dt

    v = L di/dt

    i

    Source

    L

    L1

    L2

    Magnetic

    Element

    i

    vi= Lidii/dt

    Mdij/dt

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    Idealized Elements Thermal

    Conduction Convection Radiation

    Conduction

    q1-q2=Mc dT/dt=C dT/dt

    qs = -A dT/dl

    CASDE, Aero. Dept., IIT Bombay

    = (

    A /l) (T1-T2)Convection

    qs = -hcA (Ts-Tf)

    Radiationqs = Cr(T1

    4-T24)

    qs = Cr(T1-T2)

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    Idealized Elements Fluidic/Pneumatic

    Tank Pipe/Elbow Piston

    CASDE, Aero. Dept., IIT Bombay

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    Given below is thestatement of an engineering designproblem,for which a modelneeds to be created.

    Whatsize motor shouldbe selected to drive a conveyor

    belt todeliver sand at a flow rate of 100 tons/hourusing

    the design shown below?

    A Modelling ExampleA Modelling Example

    CASDE, Aero. Dept., IIT Bombay

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    Design Decision Space & BoundariesDesign Decision Space & Boundaries

    In order to solve the problem we need to answer thefollowing questions.

    What is the horsepower of the smallest electric motor

    that can deliver 100 tons of sand per hour?

    What is therelationship between the horsepowerand the

    CASDE, Aero. Dept., IIT Bombay

    How does thewidth of the beltinfluence the design?

    We limit themodelto the basic conveyor design.

    Data extractedis as follows. h = 55 ft, H = 20o,= 100lb/ft3, A = 0.5 ft2.

    Model is based onconservation of energy.

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    Model ConstructionModel Construction

    Followingassumptions are madefor model construction.

    Friction in the rollers is neglected. Support structure

    does not deform elastically.

    The following are thesteps in the model construction.

    CASDE, Aero. Dept., IIT Bombay

    We can refine the above model to include many other

    physical effects and get amore accurate design solution.

    2 22 2

    2 2

    2750 1.563 5 0.003 ( )

    i p k f

    i

    E E E E Wh V V Wh Vg g g

    E V VP Qh Q Q h V V HP

    t g g

    = + + = + + = +

    = = + = + = + = +

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    Given below is the plot ofpower vs. belt velocity.

    Solution CharacteristicsSolution Characteristics

    CASDE, Aero. Dept., IIT Bombay

    It can be shown thata 5 HP motorwill be able to give the

    sand flow rateof 100 tons/hr or55.5. lb/s.

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    In many engineering disciplines, models based onsimilitude, or scaling laws, are employed forgenerating

    important design informationthrough experiments.

    Similitude means that conditions for both the actualsystem and for the model operations, are similar. In

    aeros ace s stems, wind tunnel models are commonl

    Similitude and Scale ModelsSimilitude and Scale Models

    CASDE, Aero. Dept., IIT Bombay

    employed for generating theaerodynamic characteristics.

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    There are many situations where the developed

    mathematical models cannot be solved directly and in

    such cases, we take recourse to finite difference and

    finite element modelsto help us generate the behaviour.

    Finite Different ModelsFinite Different Models

    CASDE, Aero. Dept., IIT Bombay

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    SummarySummary

    Modelling is an important activity that needs to beperformed atall levels of system development.

    The fidelity of the model depends on the level and in

    CASDE, Aero. Dept., IIT Bombay

    general,system level models have lower fidelitywhile thecomponent and part level models are of significantly

    higher fidelity.