matlab sheet 3 solution - ahmed nagib
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Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 1 of 21 Matlab Sheet 3 β Solution
Matlab Sheet 3 - Solution
Plotting in Matlab
1. a. Estimate the roots of the following equation
π₯3 β 3π₯2 + 5π₯ sin (ππ₯
4β
5π
4) + 3 = 0
by plotting the equation.
b. Use the estimates found in part a to find the roots more accurately with
the fzero function.
The m-file:
row clc; clear;clf x = (-2:0.01:4);
y=x.^3-3*x.^2+5*x.*sin(pi*x/4-5*pi/4)+3;
plot(x,y)
xlabel('x'),ylabel('f(x)'),grid
z=fzero('x.^3-3*x.^2+5*x.*sin(pi*x/4-5*pi/4)+3',3.8)
From the plot with either method we can estimate the roots to be x = β0.5, 1.1, and 3.8. b) Then use the fzero function as follows, for the point x = 3.8. Repeating these steps for the estimates at β0.5 and 1.1, all of these methods give the roots x = β0.4795, 1.1346, and 3.8318.
In Command Window:
z =
3.8318
Figure
-2 -1 0 1 2 3 4
-25
-20
-15
-10
-5
0
5
x
f(x)
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 2 of 21 Matlab Sheet 3 β Solution
2. Plot columns 2 and 3 of the following matrix A versus column 1. The data in
column 1 are time (seconds). The data in columns 2 and 3 are force (newtons).
The m-file:
A = [0,-7,6;5,-4,3;10,-1,9;15,1,0;20,2,-1];
plot(A(:,1),A(:,2:3))
xlabel('Time (seconds)'),
ylabel('Force (Newtons)')
gtext('Column 1'),gtext('Column 2')
Figure
0 2 4 6 8 10 12 14 16 18 20-8
-6
-4
-2
0
2
4
6
8
10
Time (seconds)
Forc
e (
New
tons)
Column 1
Column 2
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 3 of 21 Matlab Sheet 3 β Solution
3. Many applications use the following βsmall angleβ approximation for the
sine to obtain a simpler model that is easy to understand and analyze. This
approximation states that sin x β x, where x must be in radians. Investigate
the accuracy of this approximation by creating three plots. For the first, plot sin
x and x versus x for 0 β€ x β€ 1. For the second, plot the approximation error sin
x - x versus x for 0 β€ x β€ 1. For the third, plot the relative error [sin(x) - x]/sin(x)
versus x for 0 β€ x β€ 1. How small must x be for the approximation to be accurate
within 5 percent?
The m-file:
x = 0:0.01:1;
subplot(2,2,1)
plot(x,sin(x),x,x)
xlabel('x (radians)'),ylabel('x and sin(x)')
gtext('x'),gtext('sin(x)')
subplot(2,2,2)
plot(x,abs(sin(x)-x))
xlabel('x (radians)'),ylabel('Error: sin(x) - x')
subplot(2,2,3)
plot(x,abs(100*(sin(x)-x))./sin(x)),xlabel('x
(radians)'),...
ylabel('Percent Error'),grid
Figure
0 0.5 10
0.5
1
x (radians)
x a
nd s
in(x
) x
sin(x)
0 0.5 10
0.05
0.1
0.15
0.2
x (radians)
Err
or:
sin
(x)
- x
0 0.5 10
5
10
15
20
x (radians)
Perc
ent
Err
or
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 4 of 21 Matlab Sheet 3 β Solution
4. You can use trigonometric identities to simplify the equations that appear
in many applications. Confirm the identity tan(2x) = 2 tan x/(1 - tan2 x)
by plotting both the left and the right sides versus x over the range 0 β€ x β€ 2π.
The m-file:
x =0:0.01:2*pi;
left = tan(2*x);
right = 2*tan(x)./(1-tan(x).^2);
plot(x,left,'-rs',x,right)
xlabel('x (radians)')
ylabel('Left and Right Sides')
legend('Left','Right','location', 'best')
Figure
0 1 2 3 4 5 6 7-250
-200
-150
-100
-50
0
50
100
x (radians)
Left
and R
ight
Sid
es
Left
Right
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 5 of 21 Matlab Sheet 3 β Solution
5. The following functions describe the oscillations in electric circuits and the
vibrations of machines and structures. Plot these functions on the same plot.
Because they are similar, decide how best to plot and label them to avoid
confusion.
π₯(π‘) = 10 πβ0.5π‘ sin(3π‘ + 2)
π¦(π‘) = 7 πβ0.4π‘ cos(5π‘ β 3)
The m-file:
t = 0:0.02:10;
x = 10*exp(-.5*t).*sin(3*t+2);
y = 7*exp(-.4*t).*cos(5*t-3);
plot(t,x,t,y,':')
xlabel('t'),ylabel('x(t), y(t)')
legend('x(t)','y(t)')
Figure
0 1 2 3 4 5 6 7 8 9 10-8
-6
-4
-2
0
2
4
6
8
10
t
x(t
), y
(t)
x(t)
y(t)
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 6 of 21 Matlab Sheet 3 β Solution
6. In certain kinds of structural vibrations, a periodic force acting on the structure
will cause the vibration amplitude to repeatedly increase and decrease with
time. This phenomenon, called beating, also occurs in musical sounds. A
particular structureβs displacement is described by
π¦(π‘) =1
π12 β π2
2[cos(π2π‘) β cos(π1π‘)]
where y is the displacement in mm and t is the time in seconds. Plot y versus t
over the range 0 β€ t β€ 20 for π1 = 8 rad/sec andπ2 = 1 rad/sec. Be sure to choose
enough points to obtain an accurate plot.
The m-file:
t = 0:0.02:20;
y = (1/(64-1))*(cos(8*t)-cos(t));
plot(t,y)
xlabel('t (seconds)')
ylabel('Displacement y (Inches)')
Figure
0 2 4 6 8 10 12 14 16 18 20-0.04
-0.03
-0.02
-0.01
0
0.01
0.02
0.03
0.04
t (seconds)
Dis
pla
cem
ent
y (
Inches)
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 7 of 21 Matlab Sheet 3 β Solution
7. Oscillations in mechanical structures and electric circuits can often be
π¦(π‘) = πβπ‘ πβ sin(ππ‘ + π)
where t is time and π is the oscillation frequency in radians per unit time.
The oscillations have a period of 2π/π, and their amplitudes decay in time
at a rate determined by π, which is called the time constant. The smaller π
is, the faster the oscillations die out.
a. Use these facts to develop a criterion for choosing the spacing of the t values
and the upper limit on t to obtain an accurate plot of y(t).
(Hint: Consider two cases: 4π > 2π πβ and 4π < 2π πβ )
b. Apply your criterion, and plot y(t) for π = 10, π = π and π = 2.
c. Apply your criterion, and plot y(t) for π = 0.1, π = π and π = 2.
The m-file:
% Part a
t = 0:0.02:40;
y = exp(-t/10).*sin(pi*t+2);
plot(t,y)
xlabel('t'),ylabel('y')
title('Part a')
%Part b
figure(2)
t2 = 0:0.001:0.4;
y2 = exp(-t2/.1).*sin(8*pi*t2+2);
plot(t2,y2)
xlabel('t'),ylabel('y')
title('Part b')
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 8 of 21 Matlab Sheet 3 β Solution
Figures:
0 5 10 15 20 25 30 35 40-1
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
t
y
Part a
0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
t
y
Part b
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 9 of 21 Matlab Sheet 3 β Solution
8. The vibrations of the body of a helicopter due to the periodic force applied by
the rotation of the rotor can be modeled by a frictionless spring-mass-damper
system subjected to an external periodic force. The position π₯(π‘) of the mass is
given by the equation:
π₯(π‘) =2ππ
ππ3 β π3
sin (ππ β π
2 π‘) sin (
ππ + π
2 π‘)
where πΉ(π‘) = πΉ0 sin ππ‘, and π0 = πΉ0/π, Ο is the frequency of the applied
force, and ππ is the natural frequency of the helicopter. When the value of π
is close to the value of ππ, the vibration consists of fast oscillation with
slowly changing amplitude called beat. Use π0 = 12 N/kg, ππ=10 rad/s,
and π=12 rad/s to plot π₯(π‘) as a function of t for 0 β€ t β€ 10 s.
The m-file:
clc; clear;clf
f0=12; wn=10; w=12;
t=0:.1:10;
x=2*f0/(wn^3-w^3)*sin((wn-w)*t/2).*...
sin((wn+w)*t/2)
plot(t,x)
title('Helicopter Body Vibrations')
xlabel('Time, s')
ylabel('Displacement, m')
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 10 of 21 Matlab Sheet 3 β Solution
Figure
0 1 2 3 4 5 6 7 8 9 10-0.04
-0.03
-0.02
-0.01
0
0.01
0.02
0.03
0.04Helicopter Body Vibrations
Time, s
Dis
pla
cem
ent,
m
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 11 of 21 Matlab Sheet 3 β Solution
9. A railroad bumper is designed to slow down a rapidly moving railroad car. After
a 20,000 kg railroad car traveling at 20 m/s engages the bumper, its
displacement x (in meters) and velocity v (in m/s) as a function of time t (in
seconds) is given by:
Plot the displacement and the velocity as a function of time for 0 β€ t β€ 4 s. Make
two plots on one page.
The m-file:
t=0:.01:4;
x=4.219*(exp(-1.58*t)-exp(-6.32*t));
v=26.67*exp(-6.32*t)-6.67*exp(-1.58*t);
subplot(2,1,1)
plot(t,x)
title('Railroad Bumper Response')
ylabel('Position, m')
subplot(2,1,2)
plot(t,v)
ylabel('Speed, m/s')
xlabel('Time, s')
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 12 of 21 Matlab Sheet 3 β Solution
Figure
0 0.5 1 1.5 2 2.5 3 3.5 40
0.5
1
1.5
2Railroad Bumper Response
Positio
n,
m
0 0.5 1 1.5 2 2.5 3 3.5 4-5
0
5
10
15
20
Speed,
m/s
Time, s
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 13 of 21 Matlab Sheet 3 β Solution
10. The curvilinear motion of a particle is defined by the following parametric
equations:
π₯ = 52π‘ β 9π‘2 m and π¦ = 125π‘ β 5π‘2m
The velocity of the particle is given by
π£ = βπ£π₯2 + π£π¦
2
, where π£π₯ =ππ₯
ππ‘ and π£π¦ =
ππ¦
ππ‘ .
For 0 β€ t β€ 5 s make one plot that shows the position of the particle (y versus
x), and a second plot (on the same page) of the velocity of the particle as a
function of time. In addition, by using MATLABβs min function, determine the
time at which the velocity is the lowest, and the corresponding position of the
particle. Using an asterisk marker, show the position of the particle in the first
plot. For time use a vector with spacing of 0.1 s.
The m-file:
t=0:.1:5;
x=52*t-9*t.^2; y=125-5*t.^2;
vx=52-18*t; vy=-10*t;
v=sqrt(vx.^2+vy.^2);
[vmin indx]=min(v);
tmin=t(indx);
subplot(2,1,1)
plot(x,y,x(indx),y(indx),'*')
title('Particle Dynamics')
xlabel('x(m)')
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 14 of 21 Matlab Sheet 3 β Solution
ylabel('y(m)')
text(40,80,['time of min speed = ',...
num2str(tmin,'%.1f'),' s'])
subplot(2,1,2)
plot(t,v)
xlabel('time(s)')
ylabel('speed(m/s)')
Figure
0 10 20 30 40 50 60 70 800
50
100
150Particle Dynamics
x(m)
y(m
)
time of min speed = 2.2 s
0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 520
40
60
80
time(s)
speed(m
/s)
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 15 of 21 Matlab Sheet 3 β Solution
11. The demand for water during a fire is often the most important factor in the
design of distribution storage tanks and pumps. For communities with
populations less than 200,000, the demand Q (in gallons/min) can be calculated
by:
where P is the population in thousands. Plot the water demand Q as a function
of the population P (in thousands) for 0 β€ P β€ 200. Label the axes and provide a
title for the plot.
The m-file:
P=0:200;
Q=1020*sqrt(P).*(1-0.01*sqrt(P));
plot(P,Q)
title('Small Community Fire Fighting Water Needs')
xlabel('Population, Thousands')
ylabel('Water Demand, gal/min')
ylabel('speed(m/s)')
Figure
0 20 40 60 80 100 120 140 160 180 2000
2000
4000
6000
8000
10000
12000
14000Small Community Fire Fighting Water Needs
Population, Thousands
speed(m
/s)
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 16 of 21 Matlab Sheet 3 β Solution
12. A In a typical tension test a dog bone shaped specimen is pulled in a machine.
During the test, the force F needed to pull the specimen and the length L of a
gauge section are measured. This data is used for plotting a stress-strain
diagram of the material. Two definitions, engineering and true, exist for stress
and strain. The engineering stress and strain are defined by
ππ =πΉ
π΄0 and ππ =
πΏβπΏπ
πΏπ where πΏπ and π΄π are the initial gauge length and the
initial cross-sectional area of the specimen, respectively. The true stress ππ‘ and
strain ππ‘ are defined by ππ‘ =πΉ
π΄0
πΏ
πΏπ and ππ‘ = ln
πΏ
πΏπ .
The following are measurements of force and gauge length from a tension test
with an aluminum specimen. The specimen has a round cross section with
radius 6.4 mm (before the test). The initial gauge length is πΏπ=25 mm. Use the
data to calculate and generate the engineering and true stress-strain curves,
both on the same plot. Label the axes and use a legend to identify the curves.
Units: When the force is measured in newtons (N) and the area is calculated in
m2, the unit of the stress is pascals (Pa).
The m-file:
L0=.0254; r0=.0064; A0=pi*r0^2;
F=[0 13031 21485 31963 34727 37119 37960 39550 ...
40758 40986 41076 41255 41481 41564];
L=[25.4 25.474 25.515 25.575 25.615 25.693 25.752 25.978
...
26.419 26.502 26.600 26.728 27.130 27.441]/1000;
sigmae=F/A0; ee=(L-L0)/L0;
sigmat=F.*L/(A0*L0); et=log(L/L0);
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 17 of 21 Matlab Sheet 3 β Solution
plot(ee,sigmae,et,sigmat,'--')
title('Stress-Strain Definitions')
legend('Engineering','True','location','SouthEast')
xlabel('Strain')
ylabel('Stress, Pa')
Figure
0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.090
0.5
1
1.5
2
2.5
3
3.5x 10
8 Stress-Strain Definitions
Strain
Str
ess,
Pa
Engineering
True
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 18 of 21 Matlab Sheet 3 β Solution
13. The shape of a symmetrical four-digit NACA airfoil is described by the equation
where c is the cord length and t is the maximum thickness as a fraction of the
cord length ( tc= maximum thickness). Symmetrical four-digit NACA airfoils
are designated NACA 00XX, where XX is 100t (i.e., NACA 0012 has t=0.12 ). Plot
the shape of a NACA 0020 airfoil with a cord length of 1.5 m.
The m-file:
t=0.2; c=1.5; xc=0:.01:1;
y1=t*c/0.2*(0.2969*sqrt(xc)-0.1260*xc...
-0.3516*xc.^2+0.2843*xc.^3-0.1015*xc.^4);
y2=-y1;
plot(xc*c,y1,xc*c,y2)
axis equal
title('NACA 0020 Airfoil')
xlabel('Width, m')
ylabel('Height, m')
Figure
0 0.5 1 1.5
-0.5
-0.4
-0.3
-0.2
-0.1
0
0.1
0.2
0.3
0.4
0.5
NACA 0020 Airfoil
Width, m
Heig
ht,
m
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 19 of 21 Matlab Sheet 3 β Solution
14. The position as a function of time of a squirrel running on a grass field is given
in polar coordinates by:
Plot the trajectory (position) of the squirrel for
0 β€ t β€ 20 s.
The m-file:
clc; clear;clf
t=0:.1:20;
r=25+30*(1-exp(sin(0.07*t)));
theta=2*pi*(1-exp(-0.2*t));
polar(theta,r)
title('Squirrel Trajectory (m)')
Figure
10
20
30
30
210
60
240
90
270
120
300
150
330
180 0
Squirrel Trajectory (m)
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 20 of 21 Matlab Sheet 3 β Solution
15. Obtain the surface and contour plots for the function
π§ = π₯2 β 2π₯π¦ + 4π¦2
showing the minimum at π₯ = π¦ =0.
The m-file:
[X,Y] = meshgrid(-4:0.4:4);
Z = X.^2-2*X.*Y+4*Y.^2;
subplot(2,1,1)
mesh(X,Y,Z)
xlabel('x'),ylabel('y')
zlabel('z'),grid
subplot(2,1,2)
contour(X,Y,Z),xlabel('x'), ylabel('y')
Figure
-4-2
0 24
-4-2
02
40
100
200
xy
z
x
y
-4 -3 -2 -1 0 1 2 3 4-4
-2
0
2
4
Faculty of Engineering Spring 2017 Mechanical Engineering Department
Dr./ Ahmed Nagib Elmekawy 21 of 21 Matlab Sheet 3 β Solution
16. A square metal plate is heated to 80Β°C at the corner corresponding to π₯ = π¦ =1.
The temperature distribution in the plate is described by
π = 80 πβ(π₯β1)2 πβ3(π¦β1)2
Obtain the surface and contour plots for the temperature. Label each axis.
What is the temperature at the corner corresponding to π₯ = π¦ =0?
The m-file:
[X,Y] = meshgrid(0:0.1:1);
T = 80*exp(-(X-1).^2).*exp(-3*(Y-1).^2);
subplot(2,1,1)
mesh(X,Y,T)
xlabel('x'),ylabel('y')
zlabel('T'),grid
subplot(2,1,2)
contour(X,Y,T)
xlabel('x'), ylabel('y')
T(1,1)
In Command Window:
ans =
1.4653
Figure
0 0.2 0.4 0.6 0.8 1
0
0.5
10
50
100
xy
T
x
y
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10
0.2
0.4
0.6
0.8
1
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