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Ordinary Differential Equations Everything is ordinary about them

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Title: Ordinary Differential Equations Everything is ordinary about them


1
Ordinary Differential EquationsEverything is
ordinary about them
2
Popping tags means
  1. Popping bubble wrap
  2. Using firecrackers
  3. Changing tags of regular items in a store with
    tags from clearance items
  4. Taking illicit drugs

3
Physical Examples
4
How long will it take to cool the trunnion?
5
END
6
What did I learn in the ODE class?
7
In the differential equation
the variable x is the variable
  1. Independent
  2. Dependent

8
In the differential equation
the variable y is the variable
  1. Independent
  2. Dependent

9
Ordinary differential equations can have these
many dependent variables.
  1. one
  2. two
  3. any positive integer

10
Ordinary differential equations can have these
many independent variables.
  1. one
  2. two
  3. any positive integer

11
A differential equation is considered to be
ordinary if it has
  1. one dependent variable
  2. more than one dependent variable
  3. one independent variable
  4. more than one independent variable

12
Classify the differential equation
  1. linear
  2. nonlinear
  3. undeterminable to be linear or nonlinear

13
Classify the differential equation
  1. linear
  2. nonlinear
  3. linear with fixed constants
  4. undeterminable to be linear or nonlinear

14
Classify the differential equation
  1. linear
  2. nonlinear
  3. linear with fixed constants
  4. undeterminable to be linear or nonlinear

15
The velocity of a body is given by
Then the distance covered by the body from t0 to
t10 can be calculated by solving the
differential equation for x(10) for
  1. .

16
The form of the exact solution to
is

17
END
18
Eulers Method
19
Eulers method of solving ordinary differential
equations
states

20
To solve the ordinary differential equation
by Eulers method, you need to rewrite the
equation as
  1. .

21
The order of accuracy for a single step in
Eulers method is
  1. O(h)
  2. O(h2)
  3. O(h3)
  4. O(h4)

22
The order of accuracy from initial point to final
point while using more than one step in Eulers
method is
  1. O(h)
  2. O(h2)
  3. O(h3)
  4. O(h4)

23
END
24
Do you know how Runge- Kutta 4th Order Method
works?
  1. Yes
  2. No
  3. Maybe
  4. I take the 5th

25
RUNGE-KUTTA 4TH ORDER METHOD
26
Runge-Kutta 4th Order Method
27
END
28
Physical Examples
29
Ordinary Differential Equations
  • Problem
  • The trunnion initially at room temperature is put
    in a bath of dry-ice/alcohol. How long do I need
    to keep it in the bath to get maximum contraction
    (within reason)?

30
Assumptions
  • The trunnion is a lumped mass system.
  • What does a lumped system mean? It implies that
    the internal conduction in the trunnion is large
    enough that the temperature throughout the ball
    is uniform.
  • This allows us to make the assumption that the
    temperature is only a function of time and not of
    the location in the trunnion.

31
Energy Conservation
  • Heat In Heat Lost Heat Stored

32
Heat Lost
Rate of heat lost due to convection
hA(T-Ta) h convection coefficient (W/(m2.K))
A surface area, m2 T temp of trunnion
at a given time, K

33
Heat Stored
Heat stored by mass mCT where m mass of
ball, kg C specific heat of the ball, J/(kg-K)
34
Energy Conservation
Rate at which heat is gained Rate at which
heat is lost Rate at which heat is stored 0-
hA(T-Ta) d/dt(mCT) 0- hA(T-Ta) m C dT/dt
35
Putting in The Numbers
Length of cylinder 0.625 m Radius of
cylinder 0.3 m Density of cylinder material ?
7800 kg/m3 Specific heat, C 450
J/(kg-C) Convection coefficient, h 90
W/(m2-C) Initial temperature of the trunnion,
T(0) 27oC Temperature of dry-ice/alcohol, Ta
-78oC
36
The Differential Equation
Surface area of the trunnion A 2?rL2?r2
2?0.30.6252?0.32
1.744 m2 Mass of the
trunnion M ? V ? (?r2L)
(7800)?(0.3)20.625
1378 kg
37
The Differential Equation
38
Solution
Time Temp (s)
(oC) 0 27 1000
0.42 2000 -19.42 3000
-34.25 4000 -45.32
5000 -53.59 6000 -59.77
7000 -64.38 8000 -67.83
9000 -70.40 10000
-72.32
39
END
40
If assigned HW every class for a grade, you
predict that you would get a
  1. better overall grade
  2. same overall grade (would not make a difference)
  3. lower overall grade

41
If I had given you a choice of taking the class
online or in-class, and class attendance was not
mandatory for in-class section, what would have
been your choice? (you would have the same graded
assignments and had to come to campus to take the
tests for either section)
  1. In-class
  2. Online

42
If I had given you a choice of taking the class
online or in-class but required 80 attendance
for in-class section, what would have been your
choice? (you would have the same graded
assignments and had to come to campus to take the
tests for either section)
  1. In-class
  2. Online

43
How likely are you to watch the YouTube videos
for the topics that were presented in the class
you missed?
  1. Certainly
  2. Likely
  3. Not likely
  4. Not at all

44
How likely are you to watch the YouTube videos
for the topics that were presented in the class
you attended?
  1. Certainly
  2. Likely
  3. Not likely
  4. Not at all

45
If based on your background such as learning
patterns, GPA, etc, you were recommended to
register for the online section or in-class
section, how likely are you going to accept the
recommendation?
  1. Certainly
  2. Likely
  3. Not likely
  4. Not at all

46
Given
The value of
at y(4) using finite difference method and a
step size of h4 can be approximated by
  1. .
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