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ZIP with MATLAB scripts and note:

example 6.5

 example 6.5 notes:

pozar_example_06_example_05_question.jpg

er=95;                                                                  % titania
tand=.001;a=4.13e-3;L=8.255e-3;c=3e8;

x=[0:.001:15];y=besselj(0,x);                                   % order 0
[nx0,ny0]=intersections(x,y,x,zeros(1,numel(x))); 

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% finding zeros of J(n,x)


p01=nx0(1)                 % p01 = 2.404825587623834;

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% 1st approach

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L=8.255e-3;a=4.13e-3
f1=@(x) real(tan((er*x^2 - (p01/a)^2)^.5*L/2) -
...
((p01/a)^2-x^2)^.5./(er*x^2-(p01/a)^2)^.5)
s=0

for k=[10:.1:600]
    s=[s fzero(f1,k)];
end
s2=unique(s);
stem(s2)

 

 

 

 

 

 

k02=p01/a
k01=p01/(a*er^.5)

 

f1=c*k01/(2*pi)
f2=c*k02/(2*pi)

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k0_range=intersect(s2(s2>=k01),s2(s2<=k02))

min(k0_range)
max(k0_range)

k1=min(k0_range)
k2=max(k0_range)

 

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f1=c*k1/(2*pi)
f2=c*k2/(2*pi)

tand=.001;
Qd=1/tand

 

 

(1): Titania, AKA Titanium Dioxide TiO2  https://www.azom.com/article.aspx?ArticleID=1179

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comment: there are limitations when attempting to find Bessel function zeros with standard commands like solve and fslove in the following ways

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syms x;y=besselj(0,x); 

solve(y)

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fun=@(x) besselj(0,x)

fsolve(fun,1)

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nx0 =

   2.404825587623834

   5.520078116818740

   8.653727924339442

  11.791534449561969

  14.930917711006265

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k02 =     5.822822246062551e+02

k01 =  59.740895725000328

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f1 =     2.852417657811384e+09

f2 =     2.780192829618922e+10

 

 

 

 

k1 =  66.005247425991286

k2 =   5.507664289192397e+02

 

f1 =     3.151518419355034e+09

f2 =     2.629715989547041e+10

 

 

Qd =        1000

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Warning: Cannot solve symbolically. Returning a numeric approximation instead. In solve (line 303)

=

-197.13557308566141473621200268072

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Equation solved.

fsolve completed because the vector of function values is near zero

as measured by the default value of the function tolerance, and

the problem appears regular as measured by the gradient.

 

<stopping criteria details>

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ans =

   2.404825557044777

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