May 2003
  Intelligent Systems
Table of Contents

SIMULATION SOFTWARE

Switching Fiber-Optic Circuits with
Microscopic Bubbles

Advanced computational fluid dynamics modeling software plays a critical role in the development of a revolutionary photonic switching platform.

John Uebbing, Agilent Technologies

Fiber-optic cable has provided dramatic increases in data communications throughput, and there’s a growing demand for technology that will make it possible to switch large volumes of data without converting the switching signal from optical to electronic and back. In the mid-1990s, Agilent Laboratories (when it was part of Hewlett-Packard Labs) realized the importance of an all-optical circuit switch and started a research program to develop a compact, scalable switch fabric that had minimal impact on the optical signal. The research team capitalized on two established technologies—inkjets and planar light wave circuits—to build a switch that routes optical beams from one path to another without having to convert the switching signal.

To work, the photonic switching platform is placed at the intersection of three fiber-optic ribbons. When a light signal comes in through a fiber, it can cross the planar light-wave circuit unimpeded via the straight-through waveguide. But if the signal must be
figure
Figure 1. The Agilent photonic switching platform inserts a bubble into the cross point of two waveguide paths to redirect a light signal to the correct path. The bubbles are formed by evaporation induced by electrical heaters on the device substrate. The bubbles can be formed and removed in <5 ms without the use of mirrors or mechanical moving parts.
redirected to a different optical fiber, inkjet technology inserts a bubble into the cross point of the two waveguide paths, altering its optical properties and reflecting the signal down the path to the output fiber. The bubbles can be formed and removed in <5 ms, all without the use of mirrors or mechanical moving parts (see Figure 1).

The switch operates by blowing bubbles in a fluid that is index matched to the array of crossed optical waveguides. The bubbles are formed by evaporation induced by electrical heaters on the device substrate. The fluid fills an array of microtrenches located at the cross points of the waveguides. Total internal reflection from the bubble wall causes light to be switched from one waveguide to another.

The problem is that the acceptance angle, or numerical aperture, of the optical waveguides is low. If the vertical reflecting wall of the bubble is not perpendicular to the axis of the waveguide, the light will not be properly reflected into the output waveguide, and there will be signal loss.

Dimples Impact Performance
Testing was performed on early prototypes, showing the effects of heater power and ambient pressure on optical reflection characteristics and bubble shape and size. The tests showed that the reflected optical signal vs. heater power curve not did not meet the requirements needed for effective optical switching and that there were instabilities in the reflected light signals.

When the computer simulations showed that there were dimples forming on each side of the bubble (see Figure 2), it dawned on the researchers that the dimples might be the cause of the humps on the power curve and the reason the reflected signal was so unstable.

figure
Figure 2. This 2D computational fluid dynamics simulation shows how the dimple is formed when condensing fluid piles up on the wall of the bubble. The fluid tries to escape through the thin film of liquid on the wall of the trench and the resulting pressure difference deforms the bubble. The simulation used Flow Science’s new homogeneous bubble model, which assumes a uniform bubble pressure and temperature.

The team’s ability to take physical measurements with sensors did not extend to the scale of the MEMS device. The most they could do was use special optics to take photomicrographs (see Figure 1). The pictures couldn’t show the dimple directly because it was thin on a wavelength scale.

Simulating the Bubble
Initially, the researchers considered several alternatives for simulating the operation of the bubble. The team had been using various analytical models to investigate bubble formation, but they didn’t show any problems with the bubbles. It seemed the models were too simple to capture the problem. A college professor was hired to write custom software, but this project was going to take considerable time.

In the meantime, Agilent’s researchers began looking for commercial software that could handle the complicated physics of the problem. Unfortunately, most of the packages they looked at didn’t have a bubble model that would solve the problem without extensive modification. However, a company by the name of Flow Science said its software, Flow-3D, could handle the problem (see the "Flow-3D" sidebar).

Flow Science’s new homogeneous bubble model assumes uniform bubble pressure and temperature, which is a good approximation of reality. One of the key issues is the modeling of the contact line, where the liquid, vapor, and solid come together. The new model balances all of these forces and fluxes in the computational cell.

Simulations using Flow-3D showed the dimples that proved so important in explaining the experiments. The simulation and experiment also showed that the bubbles oscillated at 35 kHz, but researchers had no idea why. Simple calculations showed that it was just a simple spring mass or a trenched version of the classic bubble radial oscillation. This unexpected correlation with reality gave the team confidence in the results of the simulation.

The simulation results went beyond what Agilent could measure in the tests by showing the flow velocity, pressure, and temperature at every point in the problem domain. With these results, the researchers were able to determine what was happening: The dimple was caused by capillarity. The condensing fluid piled up on the wall of the bubble and tried to escape through the thin film of liquid on the wall of the trench. To push liquid through such a layer required significant pressure difference. The high pressure in the center of the bubble wall caused the bubble to form a dimple.

Solving the Problem
Understanding how the dimples are formed suggests two methods of correcting the shape of the bubbles to provide stable signals. The first is to extend the bubble heater under the glass sidewall of the trench. Heat flows up the wall of the microtrench and dries out its surface. Simulations with Flow-3D showed a stable dry wall that would give stable switched signals. Basic physics suggests that if the bubble temperature is less than the wall temperature the wall will be dry. Flow-3D simulations confirmed this expectation.

The second method—also verified by Flow-3D—is to make a static bubble in the microtrench. These bubbles exist if the device temperature is hotter than the pressure-setting reservoir temperature. The device temperature creates enough pressure to push the bubble into the corners of the trench, but not enough to blow the bubble out through the gap between the waveguide array and the heater substrate. Static bubbles can be turned off with a nearby “crusher” bubble, which temporarily generates enough overpressure to cause the static bubble to collapse. The crusher bubble itself is in a smaller trench, so surface tension forces are enough to make it collapse after it’s done its work. Flow-3D simulations were also used to show the switch operation in this mode.

Flow-3D
Tom Jensen, Flow Science, Inc.

Because computational fluid dynamics (CFD) software uses many different kinds of physical approximations and numerical techniques, the selection of a suitable package can be difficult. Some CFD programs are designed to deal with a particular type of flow problem, while others are general-purpose solvers. As a general-purpose solver, Flow-3D, from Flow Science, Inc., offers a variety of physical models for the investigation of the dynamic behavior of liquids and gases in a broad assortment of applications. The program is based on the fundamental laws of mass, momentum, and energy conservation, and so it can address a wide range of flow processes.

Flow-3D is based on a discrete Navier-Stokes scheme, using a finite difference (finite volume) approach. The software’s fractional area/volume representation (FAVOR) method captures geometries in a fixed grid of rectangular control elements (i.e., a structured grid). This allows complex geometries to be treated without the stair-step effect (see Figure 3).

figure
Figure 3. Shown here is a simulation of a high-pressure die casting of an alternator. Flow-3D uses the volume-of-fluid method to track free fluid surfaces, and it’s especially useful for problems involving discontinuous flows, where the surface breaks up and then coalesces again. With the fractional area/volume representation (FAVOR) technique, the geometry is easily and smoothly represented without stairsteps.

The mesh is generated independent of the specification of the geometry.

Flow-3D specializes in the simulation of free-surface flows, especially for problems with discontinuous and rapidly varied flows. The software tracks free surfaces using the volume-of-fluid technique. Flow-3D is typically used to solve time-dependent (transient) problems, and solutions can be performed in one, two, or three dimensions. Users typically don’t choose the software to solve steady-state fluidics problems, though such results can be computed as the limit of a time transient.

Flow-3D consists of a suite of programs that includes a preprocessor, solver, postprocessor, and an OpenGL-based graphical display program.

FLOW-3D and FAVOR are registered trademarks of Flow Science, Inc.


Tom Jensen is President, Flow Science, Inc., Santa Fe, NM; 505-982-0088, cfd@flow3d.com.


John Uebbing is Senior Scientist, Agilent Technologies, Santa Clara, CA; 408-970-2862, john_uebbing@agilent.com.

MORE!
For further reading on this and related topics, see these Sensors articles.

"Imitating Life: An Introduction to Computer Simulation and Modeling" Part 1 and Part 2, May and June 2002
"Rapid Prototyping for Control," March 2002
"Enabling the Design and Use of MEMS Sensors," April 1998





 
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