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Mass and Dashpot in Series

This is our first example illustrating a series connection of wave digital elements. Figure P.25 gives the physical scenario of a simple mass-dashpot system, and Fig.P.26 shows the equivalent circuit. Replacing element voltages and currents in the equivalent circuit by wave variables in an infinitesimal waveguides produces Fig.P.27.

Figure P.25: External force driving a mass which in turn drives a dashpot terminated on the other end by a rigid wall.
\begin{figure}\input fig/massdash.pstex_t
\end{figure}

Figure: Electrical equivalent circuit of the mass and dashpot system of Fig.P.25.
\begin{figure}\input fig/massdashec.pstex_t
\end{figure}

Figure: Intermediate wave-variable model of the mass and dashpot of Fig.P.26.
\begin{figure}\input fig/massdashdt.pstex_t
\end{figure}

Figure P.28: Wave digital filter for an ideal force source in parallel with the series combination of a mass $ m$ and dashpot $ \mu $. The parallel and series adaptors are joined at an impedance $ R$ which is calculated to suppress reflection from port 1 of the series adaptor.
\begin{figure}\input fig/massdashjunc.pstex_t
\end{figure}

The system can be described as an ideal force source $ f(t)$ connected in parallel with the series connection of mass $ m$ and dashpot $ \mu $. Figure P.28 illustrates the resulting wave digital filter. Note that the ports are now numbered for reference. Two more symbols are introduced in this figure: (1) the horizontal line with a dot in the middle indicating a series adaptor, and (2) the indication of a reflection-free port on input 1 of the series adaptor (signal $ f^{{+}}_1(n)$). Recall that a reflection-free port is always necessary when connecting two adaptors together, to avoid creating a delay-free loop.

Let's first calculate the impedance $ R$ necessary to make input 1 of the series adaptor reflection free. From Eq.$ \,$(P.37), we require

$\displaystyle R = m + \mu
$

That is, the impedance of the reflection-free port must equal the series combination of all other port impedances meeting at the junction.

The parallel adaptor, viewed alone, is equivalent to a force source driving impedance $ R=m+\mu$. It is therefore realizable as in Fig.P.19 with the wave digital spring replaced by the mass-dashpot assembly in Fig.P.28. However, we can also carry out a quick analysis to verify this: The alpha parameters are

\begin{eqnarray*}
\alpha_1 &\isdef & \frac{2\Gamma _1}{\Gamma _1+\Gamma _2}
= \...
...\mu}\right)}{\infty+\left(\frac{1}{m}+\frac{1}{\mu}\right)}
= 0
\end{eqnarray*}

Therefore, the reflection coefficient seen at port 1 of the parallel adaptor is $ \rho = \alpha_1 - 1 = 1$, and the Kelly-Lochbaum scattering junction depicted in Fig.P.19 is verified.

Let's now calculate the internals of the series adaptor in Fig.P.28. From Eq.$ \,$(P.26), the beta parameters are

\begin{eqnarray*}
\beta_1 &\isdef & \frac{2R_1}{R_1+R_2+R_3}
= \frac{2(m+\mu)}{...
...R_3}{R_1+R_2+R_3}
= \frac{2m}{(m+\mu)+m+\mu}
= \frac{m}{m+\mu}
\end{eqnarray*}

Following Eq.$ \,$(P.30), the series adaptor computes

\begin{eqnarray*}
f^{{+}}_J(n) &=& f^{{+}}_1(n)+f^{{+}}_2(n)+f^{{+}}_3(n)
= f(...
...(n)\\
&=& \frac{\mu}{m+\mu}f^{{+}}_3(n) - \frac{m}{m+\mu} f(n)
\end{eqnarray*}

We do not need to explicitly compute $ f^{{-}}_2(n)$ because it goes into a purely resistive impedance $ \mu $ and produces no return wave. For the same reason, $ f^{{+}}_2(n)\equiv\message{CHANGE eqv TO equiv IN SOURCE}0$. Figure P.29 shows a wave flow diagram of the computations derived, together with the result of elementary simplifications.

Figure P.29: Wave flow diagram for the WDF modeling an ideal force source in parallel with the series combination of a mass $ m$ and dashpot $ \mu $.
\begin{figure}\input fig/massdashwdf.pstex_t
\end{figure}

Because the difference of the two coefficients in Fig.P.29 is 1, we can easily derive the one-multiply form in Fig.P.30.

Figure: One-multiply form of the WDF in Fig.P.29.
\begin{figure}\input fig/massdashwdfom.pstex_t
\end{figure}



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``Physical Audio Signal Processing'', by Julius O. Smith III, (August 2007 Edition).
Copyright © 2008-05-16 by Julius O. Smith III
Center for Computer Research in Music and Acoustics (CCRMA),   Stanford University
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