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r chapters; th
Figure 3.1).
Figure 3.2
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18 Industrial Process Sensors
section 3.4.6).
Compression
Waves
Figure 3.1 Te ringing o a mechanical bell creates sound waves.
0 ms
0.73 ms
1.47 ms
2.21 ms
2.94 ms
P(x)
P(x)
P(x)
P(x)
P(x)
0 1 2 Meters
Figure 3.2 Te propagation o pressure waves through air, shown at ve dierent instants in
time. Te dots represent molecules o air, which move orward and backward along the direction
o propagation. Te local compression o air molecules causes variations in the pressure P(x),
which is shown as a unction o position x.
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Sound and Wave Phenomena 19
see chapter 4)
section 3.4.3)
Figure 3.4.
fT
= 1
(a)
( b)
Figure 3.3 wo types o wave: (a) longitudi-
nal; (b) transverse.
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20 Industrial Process Sensors
T
(a)
(b)
Time Axis
Position Axis
A
Peak-to-Peak Amplitude
Figure 3.4 A continuous wave at a single requency: (a) the time dependence o a wave mea-
sured at a xed point; the amplitude A and the peak-to-peak amplitudes are shown; the period
T is the time interval between zero crossings at the axis (or equivalently, the interval between
any two successive points o the wave that have the same phase); (b) Te position dependence o
a wave at a single instant in time; the wavelength is the distance between zero crossings at the
axis (or equivalently, the distance between any two successive points o the wave that have the
same phase).
Continuous Wave (CW)
Pulse
Tone Burst
Asymmetric Pulse
Figure 3.5 Four varieties o wave shape, as discussed in the text.
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Sound and Wave Phenomena 21
in chapter 8.
section 3.6)
2
2 2
2
2
1
x c t=
( , ) sin( )x t A kx t = - +
( , ) sin( )x t A kx t = + +
ck
=
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22 Industrial Process Sensors
= =2 2fT
k =2
c f=
( , ) ( )x t ei kx t = - +
e ii = +cos sin
( ) ( ) ( )t A e e d i i t=-
12
A e t e di i t( ) ( )( )
= --
12
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Sound and Wave Phenomena 23
It should be evident that the wave shapes shown in Figure 3.5 can be transormed into
Fourier components using equation 3.11; since each o the components is a solution o
the wave equation, it ollows that these other wave shapes are also solutions o the wave
equation.
ck
g =
sed inchapter 8).
z c=
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24 Industrial Process Sensors
cn
nc2
1
21=
22
11=
n
n
sin sin 21
21=
n
n
11
2
n1
n2
Nodes
Antinodes
3Beat
(a) (b)
(c) (d)
(e) (f )
Figure 3.6 Generic wave phenomena: (a) reection and reraction; (b) the superposition o two
colliding waves; (c) the intererence o two waves (the dotted and dashed lines) causes cancellation
(solid line) at this moment in time; (d) a standing wave; (e) the beat signal caused by combining
two signals o dierent requencies (as in heterodyning); () the resonance o a cavity.
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Sound and Wave Phenomena 25
cn
n=
arcsin 2
1
= +1 2
sin( ) sin( ) sin( ) [ sin(kx t kx t kx t kx - + - + = - + - -- =t)] 0
sin( ) sin( ) cos sinkx t kx t kx - + - + =
+
22
tt+
2
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26 Industrial Process Sensors
sin( ) sin( ) sin si
1 21 22
2t t t+ =
-
nn
1 22
+
t
A B
Dead Zones
Figure 3.7 wo speakers that emit the same tone create an intererence pattern that includes
dead zones in which the sound is reduced.
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Sound and Wave Phenomena 27
fc c
cT v T
c
c v T
c
c vd
d s s s
= =-
=-
=-
( )
1
fs
AB C
Wavefronts
Figure 3.8 A Doppler shif caused by motion o the sourceA moving away rom observer B and
toward observer C.
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28 Industrial Process Sensors
fc v
c vfd
d
ss=
+-
fc v
c vfd
d
ss
=-+
f fd s= -+
11
f fc v
cfd s s= - =
-
( )1
f fd s= -12
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Sound and Wave Phenomena 29
Nodal Line
Beam
DiffractedBeam
Aperture
IncidentWave
HuygensWaves
Figure 3.9 Diraction o a wave by an aperture. Wave ronts are represented by solid lines,
and troughs are represented by dashed lines. Many o the Huygens waves have been omitted or
clarity.
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30 Industrial Process Sensors
Wavefronts
Huygens Waves
Direction ofPropagation
Figure 3.10 Reconstruction o waveronts by Huygens waves.
Angle
Intensity
Figure 3.11 A representative polar plot. Te
solid line represents the intensity o the wave as
a unction o angle.
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Sound and Wave Phenomena 31
PD D= ( )
=
dP
d0
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32 Industrial Process Sensors
D D D = +x x xx
0 0( ) ( )
(
D D DDx x xx
= + +
= DD DD D D D + + +x x xx
xx
) ( ) ( )
0 0
= + + +
0 0 0D D( )
x x
D D= - + -( )0 0
x x
x
(x, t)
(x + x, t)
x
Figure 3.12 Te volume element o air used
in the derivation o the wave equation or sound.
Te dimension along the x axis is greatly exag-
gerated or clarity.
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Sound and Wave Phenomena 33
D D DDPP
xx
P
xx= - = -
( ) ( )
0
2
2( ) ( )D D
D
x t
P
x x= -
0
2
2 0t
P
x x x x = - = - = - -
=D D
0
2
2x
2
2 2
2
2
1
x c t=
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