Acoustic Field of a 1-D Array Element

, as a function of the location, x, and time, t, is generated over a finite length [− b, b] in the x-direction and [
$$-\infty ,+\infty $$
] in the y-direction. The normal velocity is assumed to be zero over the remainder of the plane. This type of model is called a rigid baffle model since the element is assumed to be embedded in an otherwise motionless plane, as discussed in Chap. 1. The motion of the element radiates a 2-D pressure wave field 
$$p(x,z,t)$$
into an ideal compressible fluid medium that occupies the region 
$$z\ge 0$$
.


As shown in many texts (see [Schmerr], for example) the application of Newton’s law (
$$\sum{\mathbf{F}=m\mathbf{a}}$$
) to a small fluid element yields the equations of motion (for no body forces) of the fluid given by:





$$ -\nabla p=\rho \frac{{{\partial }^{2}}\mathbf{u}}{\partial {{t}^{2}}}, $$

(2.1)

Where 
$$\rho $$
is the density of the fluid, 
$$\mathbf{u}(x,z,t)$$
is the vector displacement, and the 2-D gradient operator 
$$\nabla ={{\mathbf{e}}_{x}}\frac{\partial }{\partial x}+{{\mathbf{e}}_{z}}\frac{\partial }{\partial z}$$
, and 
$$({{\mathbf{e}}_{x}},{{\mathbf{e}}_{z}})$$
are unit vectors in the x– and z-directions, respectively. For an ideal compressible fluid the pressure in the fluid is related to the fluid motion by the constitutive equation





$$ p=-{{\lambda }_{B}}\nabla \cdot \mathbf{u}, $$

(2.2)

where 
$${{\lambda }_{B}}$$
is the bulk modulus of the fluid. The quantity 
$$\nabla \cdot \mathbf{u}$$
appearing in Eq. (2.2) is called the dilatation . Physically, it represents the relative change of volume per unit volume of a small fluid element and it is also called the volumetric strain of the fluid element [Schmerr]. The minus sign is present in Eq. (2.2) because a positive pressure causes a decrease in the volume of a compressible fluid.



A314073_1_En_2_Fig1_HTML.gif


Fig. 2.1
Model of a 1-D element radiating into a fluid with density and wave speed, 
$$(\rho ,c)$$
, respectively

If one takes the divergence (
$$\nabla \cdot $$
) of both sides of Eq. (2.1) and uses Eq. (2.2), it follows that the pressure 
$$p( x,z,t )$$
must satisfy the wave equation:





$$ \frac{{{\partial }^{2}}p}{\partial {{x}^{2}}}+\frac{{{\partial }^{2}}p}{\partial {{z}^{2}}}-\frac{1}{{{c}^{2}}}\frac{{{\partial }^{2}}p}{\partial {{t}^{2}}}=0, $$

(2.3)

where the wave speed, 
$$c$$
, in the fluid is given by





$$ c=\sqrt{{{\lambda }_{B}}/\rho }. $$

(2.4)

In modeling waves in the fluid, we will assume that all the waves have a harmonic time dependency 
$$\exp (-i\omega t)$$
so that





$$ p(x,z,t)=\tilde{p}(x,z,\omega )\exp (-i\omega t). $$

(2.5)

Placing this relationship into Eq. (2.3) shows that 
$$\tilde{p}(x,z,\omega )$$
must satisfy the Helmholtz equation





$$ \frac{{{\partial }^{2}}\tilde{p}}{\partial {{x}^{2}}}+\frac{{{\partial }^{2}}\tilde{p}}{\partial {{z}^{2}}}+\frac{{{\omega }^{2}}}{{{c}^{2}}}\tilde{p}=0. $$

(2.6)

Alternatively, we can view a solution 
$$\tilde{p}(x,z,\omega )$$
of Eq. (2.6) as the Fourier transform (frequency domain spectrum) of a time dependent wave field 
$$p(x,z,t)$$
, where





$$ \tilde{p}(x,z,\omega )=\int\limits_{-\infty }^{+\infty }{p(x,z,t)\exp (+i\omega t)dt} $$

(2.7)

and





$$ p(x,z,t)=\frac{1}{2\pi }\int\limits_{-\infty }^{+\infty }{\tilde{p}(x,z,\omega )\exp (-i\omega t)d\omega }, $$

(2.8)

since if we take the Fourier transform of the wave equation it follows that the transformed pressure 
$$\tilde{p}(x,z,\omega )$$
also must satisfy the Helmholtz equation .

We will solve our models of transducer behavior in this and later Chapters for the fields 
$$\tilde{p}(x,z,\omega )$$
. Since we will be working almost exclusively with frequency domain wave fields in this book, we will henceforth drop the tilde on our frequency domain variables and simply write fields such as the pressure or velocity as 
$$p(x,z,\omega )$$
or 
$$\mathbf{v}(x,z,\omega )$$
, etc. with the understanding that an additional time dependent term 
$$\exp (-i\omega t)$$
is also always present implicitly if we want to recover a time domain solution (see Eq. (2.8)) or if we consider these fields as harmonic wave fields.

To solve for the waves generated in the geometry of Fig. 2.1, we first note that the Helmholtz equation has harmonic wave solutions given by





$$ p=\exp (i{{k}_{x}}x+i{{k}_{z}}z), $$

(2.9)

where





$$ {{k}_{z}}=\left\{ \begin{array}{l}\sqrt{{{k}^{2}}-k_{x}^{2}}\quad k\ge {{k}_{x}} \\i\sqrt{k_{x}^{2}-{{k}^{2}}}\quad k<{{k}_{x}} \end{array}\right.$$

(2.10)

and 
$$k=\omega /c$$
is the wave number. For the real value of 
$${{k}_{z}}$$
given in Eq. (2.10), the solution of Eq. (2.9) represents a plane wave traveling at an angle 
$$\theta $$
with respect to the z-axis, where 
$${{k}_{x}}=k\sin \theta $$
, 
$${{k}_{z}}=k\cos \theta $$
. The imaginary value of 
$${{k}_{z}}$$
corresponds to an inhomogeneous wave traveling in the plus or minus x-direction (depending on the sign of 
$${{k}_{x}}$$
) and decaying exponentially in amplitude in the z-direction. Since the waves given by Eq. (2.9) are solutions of the Helmholtz equation, we can also form up a more general solution by simply a superposition of these waves traveling with different values of 
$${{k}_{x}}$$
, i.e. we can let





$$ p(x,z,\omega )=\frac{1}{2\pi }\int\limits_{-\infty }^{+\infty }{P( {{k}_{x}} )\exp ( i{{k}_{x}}x+i{{k}_{z}}z )d{{k}_{x}}}. $$

(2.11)

This type of solution is called an angular spectrum of plane waves , although as we have seen it is really a combination of both plane waves and inhomogeneous waves .

We will use this type of solution to represent the waves generated by the element model of Fig. 2.1. If we let 
$${{v}_{z}}(x,0,\omega )$$
be the Fourier transform of 
$${{v}_{z}}(x,0,t)$$
(on the plane z = 0) then





$$ {{v}_{z}}(x,0,\omega )=\int\limits_{-\infty }^{+\infty }{{{v}_{z}}(x,0,t)\exp (i\omega t)dt} $$

(2.12)

and we see that





$$ {{v}_{z}}(x,0,\omega )=\left\{ \begin{array}{l}{{{\bar{v}}}_{z}}(x,0,\omega )\quad -b<x<b \\0\quad \quad otherwise \\\end{array} \right., $$

(2.13)

where





$$ {{\bar{v}}_{z}}(x,0,\omega )=\int\limits_{-\infty }^{+\infty }{{{{\bar{v}}}_{z}}(x,0,t)\exp (i\omega t)dt}. $$

(2.14)

Note that from the equation of motion (Eq. (2.1)) we have





$$ -\frac{\partial p}{\partial z}=-\rho {{\omega }^{2}}{{u}_{z}}=-i\omega \rho {{v}_{z}} $$

(2.15)

so that





$$ {{v}_{z}}(x,0,\omega )=\frac{1}{i\omega \rho }{{\left. \frac{\partial p(x,z,\omega )}{\partial z} \right|}_{z=0}}. $$

(2.16)

Thus, from Eq. (2.11) we find





$$ \begin{array}{l} {{v}_{z}}(x,0,\omega )=\frac{1}{2\pi}\int\limits_{-\infty }^{+\infty }{\frac{i{{k}_{z}}}{i\omega \rho}P( {{k}_{x}} )\exp ( i{{k}_{x}}x )d{{k}_{x}}} \\ =\frac{1}{2\pi}\int\limits_{-\infty }^{+\infty }{V( {{k}_{x}} )\exp (i{{k}_{x}}x )d{{k}_{x}}},\end{array} $$

(2.17)

where





$$ V({{k}_{x}})=\frac{i{{k}_{z}}P({{k}_{x}})}{i\omega \rho }. $$

(2.18)

Equation (2.17) shows that 
$${{v}_{z}}(x,0,\omega )$$
can be treated as a spatial inverse Fourier transform of 
$$V({{k}_{x}})$$
so that from the corresponding forward spatial transform we have





$$ V({{k}_{x}})=\int\limits_{-\infty }^{+\infty }{{{v}_{z}}(x,0,\omega )\exp ({-}i{{k}_{x}}x )dx}. $$

(2.19)

Since the velocity on z = 0 is known (Eq. (2.13)) the spatial Fourier transform 
$$V({{k}_{x}})$$
is also known and we can write the pressure anywhere in the fluid from Eq. (2.11) and Eq. (2.18) as





$$ p(x,z,\omega )=\frac{\omega \rho }{2\pi }\int\limits_{-\infty }^{+\infty }{\frac{V( {{k}_{x}} )}{{{k}_{z}}}\exp ( i{{k}_{x}}x+i{{k}_{z}}z )d{{k}_{x}}}. $$

(2.20)

Now, Eq. (2.20) is in the form of a spatial inverse Fourier transform of a product of functions 
$$G({{k}_{x}},z,\omega )$$
and 
$$H({{k}_{x}},\omega )$$
, i.e.





$$ p(x,z,\omega )=\frac{1}{2\pi }\int\limits_{-\infty }^{+\infty }{G( {{k}_{x}},z,\omega)H( {{k}_{x}},\omega)\exp ( i{{k}_{x}}x )d{{k}_{x}}}, $$

(2.21)

where





$$ G( {{k}_{x}},z,\omega)=\frac{\exp ( i{{k}_{z}}z )}{{{k}_{z}}},\quad H( {{k}_{x}},\omega)=\omega \rho V( {{k}_{x}} ). $$

(2.22)

But by the convolution theorem [Schmerr] the inverse Fourier transform of a product of transformed functions is the convolution of the functions themselves, so that in this case the convolution theorem gives





$$ p(x,z,\omega )=\int\limits_{-\infty }^{+\infty }{h( {x}',\omega)g( x-{x}',z,\omega)d{x}'}, $$

(2.23)

where





$$ g(x,z,\omega )=\frac{1}{2\pi }\int\limits_{-\infty }^{+\infty }{\frac{1}{{{k}_{z}}}}\exp ( i{{k}_{x}}x+i{{k}_{z}}z )d{{k}_{x}} $$

(2.24)

and





$$ h(x,\omega )=\frac{\rho \omega }{2\pi }\int\limits_{-\infty }^{+\infty }{V( {{k}_{x}} )\exp ( i{{k}_{x}} )d{{k}_{x}}}. $$

(2.25)

First, examine Eq. (2.25). Since 
$$V( {{k}_{x}} )$$
is the spatial Fourier transform of 
$${{v}_{z}}(x,0,\omega )$$
, it follows that





$$ h(x,\omega )=\rho \omega {{v}_{z}}(x,0,\omega ). $$

(2.26)

Now, consider Eq. (2.24). This is the inverse Fourier transform of an explicit function and can be shown to be proportional to a Hankel function of zeroth order and type one [1]. Specifically,





$$ g(x,z,\omega )=\frac{H_{0}^{( 1 )}(k\sqrt{{{x}^{2}}+{{z}^{2}}})}{2}, $$

(2.27)

where again 
$$k=\omega /c$$
is the wave number. Placing these results into Eq. (2.21) then gives





$$ p(\mathbf{x},\omega )=\frac{\omega \rho }{2}\int\limits_{-\infty }^{+\infty }{{{v}_{z}}({x}',0,\omega )H_{0}^{( 1 )}(kr)d{x}'}, $$

(2.28)

where 
$$r=\sqrt{{{(x-{x}')}^{2}}+{{z}^{2}}}$$
is the distance from a point 
$$({x}',0)$$
on the plane z = 0 to a point 
$$\mathbf{x}=(x,z)$$
in the fluid (see Fig. 2.1). Since the velocity on the plane z = 0 is given by Eq. (2.13), we find





$$ p(\mathbf{x},\omega )=\frac{\omega \rho }{2}\int\limits_{-b}^{+b}{{{{\bar{v}}}_{z}}({x}',0,\omega )H_{0}^{( 1 )}(kr)d{x}'} $$

(2.29)

in terms of the velocity on the face of the element, which is assumed to be known. Equation (2.29) gives the pressure anywhere in the fluid generated by the motion of the face of the element so it is a complete ultrasonic model for the waves generated by a single element radiating into a single fluid medium.

Physically, Eq. (2.29) represents the wave field of the transducer element in terms of a weighted superposition of cylindrical waves arising from concentrated sources acting over the length of the transducer. This can be seen more explicitly by assuming the distance r to a point in the fluid is many wavelengths away from the element so that kr > > 1. Then, since the Hankel function has the asymptotic value [2]





$$ H_{0}^{( 1 )}(u)=\sqrt{\frac{2}{\pi u}}\exp [ i(u-\pi /4) ] $$

(2.30)

for >> 1, Eq. (2.30) becomes





$$ p(\mathbf{x},\omega )=\frac{k\rho c\exp (-i\pi /4)}{2}\int\limits_{-b}^{+b}{{{{\bar{v}}}_{z}}({x}',0,\omega )\sqrt{\frac{2}{\pi kr}}\exp (ikr)d{x}'} $$

(2.31)

in terms of a superposition of the cylindrical wave terms 
$$\exp (ikr)/\sqrt{r}$$
over the length of the element.



2.2 Far Field Waves


From the law of cosines (see Fig. 2.2) we have



A314073_1_En_2_Fig2_HTML.gif


Fig. 2.2
Geometry parameters for defining the far field response





$$ r=\sqrt{r_{0}^{2}+{{({x}')}^{2}}-2{x}'{{r}_{0}}\sin \theta }. $$

(2.32)

Continuing to keep the high frequency approximation kr >> 1 the far field of the element is defined as the region far enough from the element so that 
$${x}'/{{r}_{0}}<<1$$
are valid and we can expand Eq. (2.32) to only first order as





$$ r={{r}_{0}}-{x}'\sin \theta . $$

(2.33)

If we place this approximation into Eq. (2.30) we obtain





$$ p(\mathbf{x},\omega )=\frac{k\rho c}{2}\sqrt{\frac{2}{\pi k{{r}_{0}}}}\exp (-i\pi /4)\exp (ik{{r}_{0}})\int\limits_{-\infty }^{+\infty }{{{v}_{z}}({x}',0,\omega )\exp (-ik\sin \theta {x}')d{x}'}, $$

(2.34)

or equivalently, in terms of the spatial Fourier transform of the velocity field ,





$$ p(\mathbf{x},\omega )=\sqrt{\frac{k}{2\pi i}}\rho cV( {{k}_{x}} )\frac{\exp ( ik{{r}_{0}} )}{\sqrt{{{r}_{0}}}} $$

(2.35)

with 
$${{k}_{x}}=k\sin \theta $$

Equation (2.35) shows that in the far field region the element behaves like a concentrated source emitting a single cylindrical wave so we could call this region the cylindrical wave region of the element.

In most cases we will model the motion on the face of an element as if it acted as a piston source, i.e. as if the element had a spatially uniform velocity over the entire length of the element :





$$ {{v}_{z}}({x}',0,\omega )=\left\{ \begin{array}{l}{{v}_{0}}(\omega )\quad -b<{x}'<b \\0\quad \quad \quad otherwise\\\end{array} \right.. $$

(2.36)

In this case the spatial Fourier transform is





$$ \begin{array}{l}V({{k}_{x}})=\int\limits_{-b}^{+b}{{{v}_{0}}(\omega )\exp(-i{{k}_{x}}{x}')d{x}'} \\ =\frac{2{{v}_{0}}(\omega )\sin({{k}_{x}}b)}{{{k}_{x}}}=\frac{2{{v}_{0}}(\omega )\sin (kb\sin\theta )}{k\sin \theta }\end{array} $$

(2.37)

and the far field piston element response can be written as





$$ p(\mathbf{x},\omega )=\rho c{{v}_{0}}(\omega )\sqrt{\frac{2}{\pi i}}(kb)\frac{\sin (kb\sin \theta )}{kb\sin \theta }\frac{\exp (ik{{r}_{0}})}{\sqrt{k{{r}_{0}}}}. $$

(2.38)

Equation (2.38) shows that in the far field the piston element response has a directivity function, 
$${{D}_{b}}(\theta )$$
, where





$$ {{D}_{b}}(\theta )=\frac{\sin (kb\sin \theta )}{kb\sin \theta }. $$

(2.39)

This directivity function is strongly controlled by the non-dimensional wave number, kb, as shown in Fig. 2.3. [Note: For brevity of notation in later expressions this kb dependency will be omitted in the argument of 
$${{D}_{b}}$$
but it should be implicitly understood that it is still present in this and in other directivities that will be discussed in later Chapters.] For a value of kb = 0.314 where the length, 2b, of the element is one tenth of a wavelength,λ, (Fig. 2.3a), the sound radiation of the element is nearly uniform in all directions (
$$-90{}^\circ \le \theta \le 90{}^\circ $$
) . At kb = 1.57 (element length = one half a wavelength) there begins to be some significant changes in directivity with angle (Fig. 2.3b) but the radiation pattern is still broad. At a value kb = 3.14 (element length = one wavelength) Fig. 2.3c shows that now most of the radiation is in an angular region of 
$$\pm 30{}^\circ $$
about the normal to the element and at kb = 9.42 (element length = three wavelengths) the sound is confined primarily to a highly directed beam, with the appearance of small side lobes, as shown in Fig. 2.3d. Most NDE phased array transducers operate at MHz frequencies and with element sizes that are larger than one half a wave length so that directivity of the element plays an important role in the sound field generated and appears as a part of the overall response of an array of elements .



A314073_1_En_2_Fig3_HTML.gif


Fig. 2.3
The directivity function for an element of a length 
$$2b/\lambda =0.1$$
, b 
$$2b/\lambda =0.5$$
, c 
$$2b/\lambda =1.0$$
, and d 
$$2b/\lambda =3.0$$

It is customary to define the size of the main “lobe” of the far field sound beam generated by an element in terms of the angle at which the pressure first drops to one half (− 6 dB) of its value along the z-axis 
$$(\theta =0)$$
. For the sinc function, 
$$\sin x/x$$
, this one half value occurs at = 1.8955 so that from Eq. (2.39) we see the − 6 dB angle is given by





$$ {{\theta }_{-6dB}}={{\sin }^{-1}}\left[ 0.6\frac{\lambda }{2b} \right], $$

(2.40)

which always has a root as long as 
$$2b>0.6\lambda $$
” src=”/wp-content/uploads/2016/05/A314073_1_En_2_Chapter_IEq59.gif”></SPAN>. Table <SPAN class=InternalRef><A href=2.1 shows the results for cases (c) and (d) of Fig. 2.3 which agree with the angular patterns shown in Fig. 2.3. Also shown in Table 2.1 are the results for an element that is ten wave lengths long, where it can be seen that the directivity becomes quite small. Large, single element transducers used in NDE applications are normally tens of wavelengths in diameter so that they are highly directional and generate sound beams that are well collimated, i.e. most of the sound propagates normal to the face of the transducer. However, for the smaller elements present in phased array transducers the far field directivity can vary considerably, depending on the size of the elements .




Table 2.1
Directivities of some elements of various sizes



















Element size, 2b/λ


${{\theta }_{-6dB}}$
(degrees)

1.0

36.9

3.0

11.5

10.0

3.4

It is important to know when the far field approximation we have been using in this section is valid. Recall, in Eq. (2.32) we expanded the radius r to only first order Eq. (2.33) which led us to the explicit far field results. Let us go back to Eq. (2.32

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May 6, 2016 | Posted by in ULTRASONOGRAPHY | Comments Off on Acoustic Field of a 1-D Array Element

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