Transmission line Secondary Coefficients

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The discussion focuses on calculating the secondary coefficients of a transmission line, specifically the characteristic impedance (Z0), attenuation constant (α), and phase constant (β) at a frequency of 1 GHz. The formulas used for α and β are provided, with calculations showing α as approximately 0.0501 nepers per meter and β as about 0.2695 radians per meter. Participants confirm the correctness of these calculations and discuss the appropriate use of LaTeX for mathematical expressions. Additionally, the characteristic impedance Z0 is calculated to be approximately 179.427 + j26.5060 Ω, with a polar representation of 181.375 at an angle of +8.403°. The conversation highlights the importance of significant figures and the correct application of formulas in transmission line analysis.
David J
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Homework Statement


A transmission line has the primary coefficients as given below.

##R=2\Omega/m##
##L=8 nH/m##
##G=0.5 mS/m##
##C=0.23 pF/m##

Determine the lines secondary coefficients ##Z0##. ##\alpha## and ##\beta## at a frequency of ##1 GHz##

Homework Equations


[/B]
In my notes I am given

##\alpha=\frac{R}{2}\sqrt\frac{C}{L} +\frac{G}{2}\sqrt\frac{L}{C}## and ##\beta=\omega\sqrt{LC}##

The Attempt at a Solution


[/B]
##\alpha=\frac{2}{2}\sqrt\frac{0.23 X 10^-12}{8 X 10^-9} +\frac{0.5 X 10^-3}{2}\sqrt\frac{8 X 10^-9}{0.23 X10^-12}##

##\alpha=1 X \sqrt{2.875 X 10^-5} + (2.4 X 10^-4)\sqrt{34,782.6}##

##\alpha=\sqrt{2.875 X 10^-5} + (2.4 X 10^-4)\sqrt{34,782.6}##

##\alpha=(5.362 X 10^-3) +0.044760 = 0.050121902## nepers per meter

I think this is correct. I am unsure how to input the single multiplication sign `X` in LaTeX form. I think my " to the power of`s" are correct for ##R, L, G## and ##C## but I am unsure about the final result in nepers per meter

For the second part I got the following:-

##\beta=\omega\sqrt{LC}##

##(2\pi)(1 X 10^9) \sqrt{(8 X 10^-9)(0.23 X 10^-21)}##

So I have ##6,283,185,307\sqrt{1.84 X 10^-21}##

So ##6,283,185,307(4.289522 X 10^-11)=0.269518623## radians

So ##\beta= 0.269518623## radians

This second answer I am not so sure as I have some very large numbers but I have followed the examples in my notes.

Any comments on the two attempts above would be appreciated.

Thanks
 
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The values look okay. ##\beta## should be radians per meter. You'll want to round to the appropriate number of significant figures to match your "givens".

For multiplication in LaTeX you can use \times or \cdot : ##a \cdot b = a \times b##.
 
Thanks a lot for your help with this
 
gneill said:
The values look okay. ##\beta## should be radians per meter. You'll want to round to the appropriate number of significant figures to match your "givens".

For multiplication in LaTeX you can use \times or \cdot : ##a \cdot b = a \times b##.
l Following onto this question i got all the same workings however we needed to find Zo aswell. Using
0f7a2214412eaf12fa94bf33a612ab95c0c24c2b
with the values above I got Zo=179.427+j26.5060 Ω or in polar Zo=181.375 /_+8.403° Ω (sorry don't currently have software to do the polar expression so used /_ to signify the angle).Does this sound correct for this answer?
 
Connorm1 said:
l Following onto this question i got all the same workings however we needed to find Zo aswell. Using
0f7a2214412eaf12fa94bf33a612ab95c0c24c2b
with the values above I got Zo=179.427+j26.5060 Ω or in polar Zo=181.375 /_+8.403° Ω (sorry don't currently have software to do the polar expression so used /_ to signify the angle).Does this sound correct for this answer?

https://www.wolframalpha.com/input/?i=√((2+(16π)i)/(0.0005+i(0.00046π))) Here's my workings using wolframalpha
 
Looks good.
 
gneill said:
Looks good.

Thanks @gneill! Only bit i was struggling on! But I hoped it'll be as simple as use the equation and plug in values. Helpful as always :)
 
In my opinion, the correct formula it is as follows:
α+jβ=sqrt[(R+jꞷL)x(G+jꞷC)]
The formula α=1/2xRxSQRT(C/L)+1/2xGxSQRT(L/C) it is good in the case in which
we can neglect R with respect to ꞷ*L and G with respect to ꞷ*C.
The difference is not more than 1-2%, indeed.
a=0.051409 and b=0.272549
 

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