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SIE1007 Dynamics of Machines Dr Eicher Low 65922052 e-: [email protected]

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  • SIE1007 Dynamics of Machines

    Dr Eicher Low

    65922052e-: [email protected]

  • Introduction

    Basic Vector Properties

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.2

  • Introduction

    Dynamics: the study of motion of objects and the cause of the motion

    Two main topics under Dynamics:Kinematics: the study of motion without regard to the cause of motion

    Kinetics: the study of the relation between forces and motion

    Will discuss both in this course!

    Scope limited to Newtonian (classical nonrelativistic) mechanics Breaks down at speeds comparable to speed of light and dimensions comparable to the atoms sizeSufficient for practical engineering applications

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.3

  • Major Topics Covered

    Vector kinematics Non-Cartesian coordinate systems

    Particle dynamics Newtons laws, work & energy, impulse & momentum

    Relative motion Coriolis theorem

    Dynamics of system of particles Rigid body kinematics Rigid body dynamics

    Many examples related to engineering applications will be given!

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.4

  • SIE1007 Module Administration

    Lecture : Wednesday 09.30 11.30 (Room SR2C) Tutorial : Friday 09.30 11.30 (Room SR2C) Main textbook:

    Bedford & Fowler, Engineering MechanicsDynamics (SI edition), Pearson-Prentice Hall (2008)

    Other books:Hibbeler and Yap, Engineering MechanicsDynamics, 13th edition (SI units), Pearson-Prentice Hall (2013)Beer, Johnston & Cornwell, Vector Mechanics for EngineersDynamics, 9th edition, McGraw Hill (2010)

    CA (50%): Quiz & AssignmentQuiz: closed book with formulas givenAssignment: four to be given during the semester

    Final exam (50%): closed book, BUT all the formulas will be given

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.5

  • To Successfully Complete This Module

    Dont memorize, understanding is key! Active learning!

    Participate actively in lectures/tutorials

    Expand lecture notes with your own notes Dont hesitate to ask questions if necessary

    Find other material that can help you understand or enhance your understanding

    Consult textbook or other materials Use information super highway

    Internet is a wonderful resource, but use it with care!

    Remember: it may take time to digest the course material, so dont wait until the last minute to revise

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.6

  • Particle

    Particle: body of negligible dimensions Dimensions of the body irrelevant to the description of its

    motion

    When can we treat a body as a particle? When its orientation is unimportant or irrelevant!

    3 degrees-of-freedom (DOF) in translation only

    Examples: Planets can be treated as particles in the context of planetary

    motion around the Sun

    Aircraft can be treated as particle in the context of aircraft trajectory

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.7

  • Rigid Body

    Rigid body: undeformable body with finite size Deformation of the body is negligible compared to the

    overall motion

    When can we treat an object as a rigid body? When its orientation is important!

    In general, it has 6 DOF, 3 translation and 3 rotation

    Examples: Satellite can be treated as rigid body if we concern about its

    attitude orientation in orbit

    Aircraft can be treated as rigid body if we concern about its attitude motion along its flight path

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.8

  • Scalars and Vectors

    Scalar: entity expressible as a single number Useful to describe the reading of a physical property on a

    scale/unit

    Examples: mass, temperature, time, length, speed

    Vector: entity having both direction and magnitude Exists in a multi-dimensional space

    Examples : velocity, force, moment, acceleration

    Notation : A or or A

    Indicates a vector of magnitude A (a scalar) Unit vector is a vector whose magnitude is 1

    A

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.9

  • Vector Algebra (1)

    Multiplication by a scalar Simply multiply the magnitude of the vector without affecting the

    direction

    Vector addition Tail-to-tip or parallelogram methods

    Vector addition is commutative and associative

    )0(

    AB

    )0(

    AB

    A AB

    A A

    BBC C

    cos2222 ABBAC

    ABBA )()( CBACBA

    CBA

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.10

  • What if more than two vectors ?

    Consider the three vectors U, V & W. Their vector sum can be described by any of the following combinations:

    Is there any other combinations besides these ? The vector sum is independent of the ordering. If the sum of 2 or more vectors = 0, they form a closed polygon.SIE1007 Dynamics of Machines Introduction and Basic Vector Properties

    V + U + WU + V + W

    U + W + V

    Lecture 1.11

  • Vector Algebra (2)

    Vector subtraction

    Scalar product (dot product) The result is a scalar

    Scalar product is commutative:

    Vector product (cross product) The result is a vector

    )( BABA B

    BBA

    A

    cosABBAA B

    ABBA

    sinABC BAC

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.12

  • Direction is determined by right hand rule

    Triple product Result is scalar

    Double vector product Result is a vector

    C is equal to area of theparallelogram formedby A and B

    Vector Algebra (3)

    C

    ABBA )( CBA

    )()()( BACACBCBA

    CBABCACBA )()()(

    )( CBA

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.13

  • Components of a Vector

    Often desirable to express a vector in terms of its components along a set of perpendicular axes E.g. Cartesian right-handed coordinate system

    i, j, k unit vectors along x, y, z axes

    Ax, Ay, Az are components of vector A in the xyz reference frame

    x

    z

    B

    C

    D

    E

    OAx

    Ay

    Az

    A

    y

    z

    y

    x

    zyx

    zyx

    AAA

    AAA kji

    AAAAjikikjkji

    ik

    j

    xy

    z ij

    k

    222zyx AAAA

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.14

  • Components in Three Dimensions

    Direction Cosines :

    One way to describe the direction of a vector is by specifying the angles x, y & z between the vector & the positive coordinate axes:

    Ux = |U| cos x, Uy = |U| cos y, Uz = |U| cos SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.15

  • Components in Three Dimensions

    Direction Cosines : Direction cosines: cos x, cos y & cos z Direction cosines satisfy the relation:

    cos2 x + cos2 y + cos2 z = 1 Suppose that e is a unit vector with the same direction as U:

    U = |U| e

    In terms of components :

    Uxi + Uyj + Uzk = |U| (exi + eyj + ezk)

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.16

  • Components in Three Dimensions

    Direction Cosines: Thus:

    Ux = |U| ex, Uy = |U| ey, Uz = |U| ez By comparing these equations:

    cos x = ex, cos y = ey, cos z = ez The direction cosines of a vector U are the components of a

    unit vector with the same direction as U

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.17

  • Vector Operations in Component Form (1)

    Summation and multiplication by scalar

    Scalar product Note:

    BAC

    zz

    yy

    xx

    z

    y

    x

    BABABA

    CCC

    zzyyxx

    z

    y

    x

    z

    y

    x

    BABABABBB

    AAA

    BA

    1 kkjjii 0 ikkjji

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.18

  • Vector Operations in Component Form (2)

    Vector productNote:

    jikikjkji ,,0kkjjii

    zyx

    zyx

    xyyxzxxzyzzy

    BBBAAA

    BABABABABABA

    kji

    kjiBA

    )()()(ik

    j

    )()()(det egdhcfgdibfheiaihgfedcba

    ihgfedcba

    Recall:

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.19

  • Cross-Product Matrix

    Cross product of two vectors can be expressed as matrix-vector product using cross-product matrix

    Cross-product matrix is skew-symmetric

    xyyx

    zxxz

    yzzy

    z

    y

    x

    xy

    xz

    yz

    BABABABABABA

    BBB

    AAAA

    AA

    0

    0

    0

    BA

    xx AA T

    Cross-product matrix [Ax]

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.20

  • Derivative of Vector (1) Derivative of a vector

    Derivative of a vector consists of components due to magnitudechange and due to direction change

    Component due to magnitude change only (constant direction):

    ttttt

    dtd

    tt

    AAAA

    00lim

    )()(lim

    AA tAeA

    AA

    tt

    t dtdA

    tA

    dtd

    eeA

    0directionconstant lim

    te

    nete

    ne: unit vector parallel to A

    : unit vector perpendicular to A

    Example:

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.21

  • Component due to direction change only (constant magnitude):

    General expression for derivative of a vector:

    For the example above:

    For

    Derivative of Vector (2)

    0tA

    AAA

    AdA A

    A AAA

    te

    ne very smallneA //

    From trigonometry:

    nnn

    tA

    dtdA

    tA

    dtd

    eeeA

    0magnitudeconstant lim

    magnitudeconstant directionconstant dtd

    dtd

    dtd AAA

    Example:

    nt AdtdA

    dtd

    eeA

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.22

  • Vector Differentiation Properties

    Some rules of vector differentiation:

    dtd

    dtd

    dtd

    dtd

    dtd

    dtd

    dtd

    dtd

    dtd

    dtd

    dtd

    dtd

    BAB

    ABA

    BAB

    ABA

    BABA

    AAA

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.23

  • Free-Body Diagrams

    Free-Body Diagrams: Serves to focus attention on the object of interest & helps to

    identify the external forces acting on it

    Used in dynamics to study the motions of objects

    Drawing of an isolated or freed object & the external forces acting on it

    Drawing a free-body diagram involves 3 steps:1. Identify the object to isolate the choice is often dictated by

    particular forces you want to determine/analyse

    2. Draw a sketch of the object isolated from its surroundings & show relevant dimensions & angles

    3. Draw & label vectors representing all the external forces acting on the isolated object dont forget to include the gravitational force

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.24

  • Free-Body Diagrams

    Equilibrium equation:

    F = TABj Wj = (TAB W)j = 0Tension in cable AB is TAB = W

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture1.25

  • Free-Body Diagrams

    A coordinate system is necessary to express the forces on the isolated object in terms of components

    E.g. to determine the tensions in the 2 cables:

    Isolate lower block & part of cable AB Indicate the external forces: W & TAB Introduce a coordinate system

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.26

  • Free-Body Diagrams

    Isolate upper block

    External forces: W, TCD & TAB Equilibrium equation:

    F = TCDj TABj Wj= (TCD TAB W)j= 0

    Since TAB = W, TCD = 2W

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.27

  • Free-Body Diagrams

    Alternatively, treat the 2 blocks & cable AB as a single object:

    Equilibrium equation:

    F = TCDj Wj Wj= (TCD 2W)j = 0

    Again, TCD = 2W

    SIE1007 Dynamics of Machines Introduction and Basic Vector Properties Lecture 1.28