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Spline Interpolation Method

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Title: Spline Interpolation Method


1
Spline Interpolation Method
  • Mechanical Engineering Majors
  • Authors Autar Kaw, Jai Paul
  • http//numericalmethods.eng.usf.edu
  • Transforming Numerical Methods Education for STEM
    Undergraduates

2
Spline Method of Interpolation
http//numericalmethods.eng.usf.edu
3
What is Interpolation ?

Given (x0,y0), (x1,y1), (xn,yn), find the
value of y at a value of x that is not given.
4
Interpolants
  • Polynomials are the most common choice of
    interpolants because they are easy to
  • Evaluate
  • Differentiate, and
  • Integrate.

5
Why Splines ?
6
Why Splines ?
Figure Higher order polynomial interpolation is
a bad idea
7
Linear Interpolation
8
Linear Interpolation (contd)
9
Example
  • A trunnion is cooled 80F to - 108F. Given
    below is the table of the coefficient of thermal
    expansion vs. temperature. Determine the value of
    the coefficient of thermal expansion at T-14F
    using linear spline interpolation.

Temperature (oF) Thermal Expansion Coefficient (in/in/oF)
80 6.47 10-6
0 6.00 10-6
-60 5.58 10-6
-160 4.72 10-6
-260 3.58 10-6
-340 2.45 10-6
10
Linear Interpolation




11
Quadratic Interpolation
12
Quadratic Interpolation (contd)
13
Quadratic Splines (contd)
14
Quadratic Splines (contd)
15
Quadratic Splines (contd)
16
Example
  • A trunnion is cooled 80F to - 108F. Given
    below is the table of the coefficient of thermal
    expansion vs. temperature. Determine the value of
    the coefficient of thermal expansion at T-14F
    using quadratic spline interpolation.

Temperature (oF) Thermal Expansion Coefficient (in/in/oF)
80 6.47 10-6
0 6.00 10-6
-60 5.58 10-6
-160 4.72 10-6
-260 3.58 10-6
-340 2.45 10-6
17
Solution




18
Solution (contd)
19
Solution (contd)
20
Solution (contd)
21
Solution (contd)
22
Solution (contd)
23
Reduction in Diameter
The actual reduction in diameter is given by
where Tr room temperature (F) Tf
temperature of cooling medium (F) Since Tr 80
F and Tr -108 F, Find out the percentage
difference in the reduction in the diameter by
the above integral formula and the result using
the thermal expansion coefficient from the cubic
interpolation.
24
Reduction in Diameter
25
Reduction in diameter
Taking the average coefficient of thermal
expansion over this interval, given by
The absolute relative approximate error
obtained between the results from the 2nd methods
is
26
Additional Resources
  • For all resources on this topic such as digital
    audiovisual lectures, primers, textbook chapters,
    multiple-choice tests, worksheets in MATLAB,
    MATHEMATICA, MathCad and MAPLE, blogs, related
    physical problems, please visit
  • http//numericalmethods.eng.usf.edu/topics/spline
    _method.html

27
  • THE END
  • http//numericalmethods.eng.usf.edu
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