Tutorial 1:  TM Cutoff Frequencies of a Rectangular Waveguide

Tutorial Example File: tut1_rw.tlm

Objective: Find the cutoff frequencies of the first three TM-modes in a WR(28) rectangular waveguide. Assume perfectly conducting walls. The guide is filled with air.

This standard rectangular waveguide has the following inner dimensions:

a = 0.28 in, b = 0.14 in.
 

1.1 Preliminary Considerations

At cutoff, all field components are independent of position along the longitudinal axis of the guide (y-axis). Thus, we need to solve a genuine 2D problem. MEFiSTo-2D is perfectly suitable for this task.
 

 Figure01.gif (5007 bytes)
 

Figure 2-1 (a) Cross-section of the waveguide showing the co-ordinate axes and the field components of the TM-modes at cutoff. These components are independent of y.
(b) Isometric view of a shunt-connected transmission line network (TLM mesh) used to model the field behavior in the cross-section. The sidewalls of the guide are modeled by short-circuits

We model the longitudinal Ey-field of the TM modes by the voltage Vy in the TLM mesh. (Vy is perpendicular to the screen). The transverse magnetic field components are then modeled by the currents in the TLM mesh (see Figure 2-1). The correspondence is as follows:
 

  • The mesh voltage Vy models the electric field component Ey.
  • The mesh current Iz models the magnetic field component -Hx
  • The mesh current Ix models the magnetic field component Hz

We discretize the cross-section of the waveguide into square cells. As a rule of thumb, the mesh size should be smaller than 1/10th of the shortest wavelength. 10 cells along the shortest dimension of the waveguide cross-section should be about right for a first evaluation. Obviously, the discretization in Figure 1 is much too coarse.

We thus discretize the waveguide into 20 x 10 cells of size 0.014 in x 0.014 in = 0.3556 mm x 0.3556 mm.

The cutoff frequencies of the TM-modes are interpreted as the eigenfrequencies (transverse resonance frequencies) of a field that is uniform in y-direction
 

1.2  Define and Input the Structure

Set up the TLM mesh and draw the waveguide cross-section into the discretized TLM mesh. Proceed as follows:

1.2.1 Start MEFiSTo-2D

1.2.2 Create a new mesh

 

Number of cells in Z-direction: 21
Number of cells in X-direction: 11 
Cell size Delta L in [mm]: 0.3556
Note: Always choose a mesh that is at least one cell larger than the structure you want to implement. (The waveguide cross-section is 20x10 cells).

 

1.2.3 Draw the guide walls

1.2.4 Define the Computation Region and its properties

The program does not automatically assume that you want to compute the field in all cells. You must therefore specify which cells should be "alive", and what should be the electromagnetic properties of the space they occupy.

1.2.5 Create a source point and a probe

Just like in a measurement you must excite the fields inside the waveguide by injecting energy into it. You must also sample the field response to the excitation. The simplest way to do this is to create a Source Point for excitation and a Probe for sampling the field response. The positioning of the source point and the probe is governed by the same principles as the positioning of real input and output devices in a measurement.

1.2.5.1 Create a Source Point

Let us first place a single source point into the guide cross-section and inject the y-directed electric field component. The position of the source point will, of course, determine what modes will be excited, and how strongly. Placing the source in the center of the waveguide will excite only modes with an even symmetry about the center (TM11, TM31, TM51, TM13, TM33, etc,) and thus exclude the modes with odd symmetry. We will thus place the source point slightly off-center to excite as many modes as possible.

1.2.5.2 Create a Probe

The screen should now look like Figure 2-2.

Figure02.gif (14583 bytes)

 

Figure 2-2: View of the TLM mesh in the cross-section of the waveguide.

 

1.3 Perform the Simulation

You may have noticed that the PlusPlus.gif (945 bytes) and PlusPlus.gif (945 bytes) buttons in the Simulation Bar have turned yellow, indicating that simulation is now enabled and that all elements necessary for a simulation have been created. A few more decisions need to be made, though.

1.3.1 Select a Source Waveform

Having chosen a standard waveguide problem as our first exercise, we know already the solution with perfect accuracy. But let us assume for the moment that we do not know it yet. We therefore inject a signal with an extremely wide bandwidth to be certain that all relevant frequencies are excited. This signal will be a single voltage impulse.

1.3.2 Select a Sampling Mode

The Sampling Mode menu allows you to select the quantity you want to sample with your field probe. This time we choose to sample the same component that we have injected, namely the node voltage Vy (equivalent to the longitudinal field component Ey in the waveguide cross-section).

1.3.3 Set Simulation Control Data

The Simulation Control menu allows you to specify the simulation process in detail.

We are now ready to start the simulation and to observe the process.

1.3.4 Start Simulation

Figure03.gif (11029 bytes)
 

Figure 2-3: Fourier Transform of the impulse response of the TLM mesh that models the cross-section of a WR(28) waveguide.

 

 

TM11 (fc1 = 47.128544 GHz)
TM21 (fc2 = 59.613417 GHz)
TM31 (fc3 = 75.992494 GHz)

1.4 Process and Improve the Simulation Results

While the results obtained so far are sufficiently accurate for the identification of the first cutoff frequencies, MEFiSTo-2D can achieve much better precision and resolution. The main limitation has been the low frequency resolution of the frequency axis. The next step will be to zoom in on the three first resonances to get a better reading of the position of the maxima.

1.4.1 Zoom in on the individual resonance peaks

The frequency axis is now spread out, but the peak is still not well defined. In fact, you see a piecewise linear approximation of the resonance curve that is not sufficiently resolved to identify the exact position of the maximum. The solution is to increase the number of frequency points in the window as follows.

1.4.2 Recompute the Fourier Transform

1.4.3 Increase the number of time steps

 

1.5 Add Another Probe

The second resonance peak at 60 GHz is not very pronounced as compared with the first and third. This is due to the position of the Probe with respect to the maximum of the mode field. Because the second peak is so small, the risk of error is greatly increased since the sidelobes (due to the Gibbs effect) of the first resonance may interfere with it and give rise to a substantial truncation error. The remedy is to place another Probe at a position where the field of the TM21 mode is larger.

You should obtain approximately the following values:

 

fc1 ~ 47.096 GHz
fc2 ~ 59.617 GHz
fc3 ~ 75.922 GHz

 

1.6 Validation of Computed Results

Comparison of analytical values for the cutoff frequencies of the WR(28) waveguide with the simulation data yields the results shown in Table 2-1.

The errors turn out to be much smaller than the upper bound of the phase velocity error displayed in the Simulation Control Data box. If you want to reduce the dispersion error further, the only solution is to increase the number of cells in the cross-section of the waveguide. In fact, it is always a good idea to solve the same structure once or twice with an increasingly finer mesh. This allows you to verify if and how the solution converges to the ideal value for infinitesimal mesh size.

Note that when you double the number of cells in each coordinate direction, the number of cells and hence, the memory requirements increase by a factor 22 = 4. At the same time, the required number of time steps doubles, and the total computational expenditure thus grows by a factor 23 = 8.
 
 

  Mode  

  Analytical Cutoff   fc/GHz 

  MEFiSTo-2D   fc/GHz 

  Relative Error   in Percent 

TM11 47.128544 47.096 -0.069

TM21 

59.613417 

59.617 

0.006 

TM31 

75.992494 

75.992 

-0.0006 

Table 2-1:  Comparison of simulation results with analytically exact values.