Manufacturing Technology (ME461) Lecture4

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    Manufacturing Technology

    ME461

    Instructor: Shantanu Bhattacharya

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    Review of previous lecture

    Concatenation and compounding for series of

    transformations.

    Practical problem of compounding. Non-parametric representation (implicit and

    explicit cases).

    Example problem of straight line.

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    Non parametric representation

    (Explicit case)

    Non parametric equations of curves can be further dividedinto explicit and implicit nonparametric equations. The explicit

    non parametric representation of general two dimensional

    and three dimensional curves taken the form:

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    Non parametric representation

    (Implicit case)

    The implicit non parametric representation of a general n-dimensionalspace curve takes the form:

    This equation must b solved analytically to

    obtain the explicit form, which is not easily done

    by computer.

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    Example Problem

    Develop the non

    parametric

    equation for the

    ellipse as shownin the figure on

    the left.

    2A

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    Solution

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    Parametric Representation of

    Synthetic curves

    Analytic curves, are usually well defined and studied.

    However, in the geometric design of mechanical

    parts, some other curves are required.

    One familiar example is the car body which contains

    curves which not only envelop inside the mechanical

    part but also help reduce air resistance.

    Other examples might include fuselage, wings, andpropeller blades of airplanes, whose shape is based

    on aerodynamic and fluid flow simulation.

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    Parametric representation of synthetic curve

    Generally speaking, a goodrepresentation ofengineering objects has to

    have the followingproperties:

    1. Easy to control thecontinuity of the curvesto be designed.

    2. Requires less storage torepresent a curve.

    3. Less computation timeand no computationalproblems.

    4. Easy to input by user.

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    Concept of continuity Intuitively, continuity means the smoothness of the connection of two

    curves or surfaces at the connection of two curves or surfaces at the

    connection points or edges.

    Normally, three types of continuity, called C0, C1, C2 are defined to

    characterize the smoothness of connection of two curves. C0continuity

    implies simply connecting two curves. That means that the gradients of

    these curves at the point of joining

    In C1continuity, the gradients

    at the point of joining must be

    same.

    However, C2 implies curvature

    continuity; that is , not onlygradient but also the center of

    curvature is the same.

    Curves that are constructed by many curve segments are called synthetic curves.

    Different types of curve segments can be used to construct synthetic curves, with certain

    continuity requirements. They are easier in controlling their continuity requirements and

    plotting them is computationally less intensive.

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    Types of synthetic curves

    Hermite cubic spline

    Bezier cruves

    B-Spline curves

    Rational B-Splines

    Nonuniform rational B-Spline

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    Hermite Cubic Spline The main idea of the Hermite cubic spline is that a curve is divided into segments. Each

    segment is approximated by an expression, namely a parametric cubic function.

    The reasons for using cubic functions to approximate the segments are:

    1. A cubic polynomial is the minimum order polynomial function that generates C0, C1,

    C2 continuity curves.

    2. Higher order polynomials have some drawbacks, such as oscillation about control

    points, and are uneconomical in terms of storing information and computation.

    D i ti f th t

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    Derivation of the parameter

    equation

    This form can be adjusted to yield

    various shapes of curve segment by

    altering one or more of V(0), V(1),V(0) and V(1) appropriately.

    The Hermite form of a cubic spline

    is determined by defining positions

    and tangent vectors at the data

    points.

    There are some disadvantages of

    this method. For example,

    1. First order derivatives are

    needed; it is not convenient fora designer to provide first order

    derivative.

    2. The order of the curve is

    constant regardless of the no,.

    of data points.

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    Example Problem

    Determine and plot the equation of Hermite

    form of a cubic spline form given position

    vectors and slopes at the data points with

    vector magnitude equal to 1.

    Point 1: A= [1,2]T, slope A= 60 deg.

    Point 2: B= [1,3]T, slope B = 30 deg.