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Denali’s design
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But it’s usually not possible to determine in advance where
the restriction on the rolling diaphragm will end after the valve is assembled.
When the diaphragm is opened, the water rushes past the restriction through the
diaphragm to the outlet of the valve with complicated flow patterns. Generally
the pressure is much higher below the diaphragm on the side that is opposite to
the inlet because the water drastically changes direction and jams up against
the opposite wall. This means that if the orifice happens to end up on the
inlet side, it will be exposed to relatively low pressures. The control chamber
will then fill slowly and the flush volume will be high. As a result, a
weakness of earlier diaphragm valve designs is that one valve of the same model
may deliver 1.5 gal. while another will deliver 1.7 gal. For example, a
competitive flush valve has shown a volume delivery variance of 13.4 percent in
our tests.
Through the 1950s, most toilets used 7 gal. of water per
flush. By the end of the 1960s, toilets were designed to flush with only 5.5
gal., and in the 1980s, new toilets were using only 3.5 gal. In order to
conserve water, the National Energy Policy Act of 1995 mandated that the
toilets use 1.6 gal. for each flush. The American Society of Mechanical
Engineers/American National Standards Institute (ASME/ANSI) standards for
1.6-gal. toilets were adopted by reference, establishing them as the standards
across the U.S. The ASME/ANSI standards require that toilets must flush with an
average of 1.6 gal. on five test flushes, with none of the flushes exceeding
2.2 gal.
We decided to achieve a consistent flush volume in the
Denali valve by evening out the pressure that the restriction through the
diaphragm is exposed to around its entire circumference. This would have been a
difficult task using physical prototyping because it would have been necessary
to repeatedly assemble and disassemble the valve, each time slightly changing
the position of the rolling diaphragm. We would have had no way to visualize
the flow inside the valve, so if we found a problem in a certain position we
would have to rely on intuition and guesswork to try and solve it. To evaluate
each possible solution, we would have to build a new prototype valve. Instead,
we decided to simulate the operation of the flush valve with CFD to see if we
could even out the pressure differences inside the downstream chamber.
A CFD simulation provides fluid velocity, temperature, and
chemical-concentration values throughout the solution domain for systems with
complex geometries. As part of the analysis, a designer may change the geometry
of the system or the boundary conditions and view the effect on fluid-flow
patterns. But conventional CFD software is expensive and requires a lot of
knowledge on the part of the users such as various meshing options, physical models
and boundary conditions. Up to this point, these limitations have caused CFD
software to be used mainly by analytical specialists relatively late in the
development process, primarily to evaluate problems with existing prototypes or
products.
But as CFD becomes more important to the design of a wide
range of different products and processes, the limitations of the current use
model have become more obvious. They have been addressed by a new generation of
software that is fully embedded in the MCAD environment. This type of software
works directly with the native MCAD geometry and requires no translation of
data, so that the solid model maintains intelligence such as assembly
hierarchy, constraints, and features. The software analyzes the geometry and generates
the computational grid in the background, while the user only needs to interact
with the familiar MCAD interface.
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Developing the Denali valve |
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Large automotive and aerospace companies have experts with
graduate degrees in fluid dynamics that have no difficulty using very complicated
CFD software. Since we are much smaller company, we wanted a package that was
intuitive enough to be used by a design engineer that does not have a Ph.D. We
found two software packages that seemed to fit the bill. We built a model in
our lab of a pipe with a restriction. We ran water through it and measured the
flow rate and the upstream and downstream pressure. We then simulated the
experiment with each of the two engineer-friendly CFD software packages. The
first software package took us four hours to simulate the experiment and
produced misleading results. With EFD.Lab, we simulated the problem in 30
minutes and our results were within a few percent of the correct answers.
The Denali valve was originally designed in Pro/ENGINEER
computer-aided design (CAD) software. We imported the CAD model of the valve
into EFD.Lab, which automatically distinguished between the solid and empty
spaces in the CAD model and meshed the empty regions to prepare for flow
analysis. We measured the flow rate and pressure at the inlet and outlet of a
similar existing valve and used those as boundary conditions. The analysis
results showed flow rate and pressure at every section of the valve.
The simulation of the initial design showed that, as
expected, the pressure was considerably higher on the side of the downstream
chamber opposite to the inlet. We modified the geometry of the downstream
chamber to reduce the amount of flow directed to high-pressure areas and to
increase the flow directed to low-pressure areas. Each time we modified the
geometry, we ran the simulation again to determine the impact on the pressure
variations inside the downstream chamber. On the sixth iteration, we produced a
design that evened out the pressure in the downstream chamber. In the final design,
the orifice can be positioned anywhere without affecting flush volume.
Next, we used the existing model of the flush valve to look
at the variations in the flow rate over a single flush cycle. The goal was to
maintain an even 28 gal. per minute (gpm) flow for as long as possible to clean
out the basin then shift smoothly to a 5 gpm flow to reseal the diaphragm. When
the diaphragm is fully open, a restriction in the lower end of the downstream
chamber limits the flow rate. As the diaphragm closes, an upper restriction
takes over and limits the peak flow rate. As the diaphragm continues to close,
the upper restriction finally becomes so restrictive that the flow ends. We
used CFD simulation to size the restrictions to achieve the desired flow rate.
EFD.Lab helped us optimize the design quickly. The ability
to visualize the flow within the valve made it easy to see what was causing
pressure variations. We made a few design changes and soon had equalized the
pressure around the valve. When we built and tested a prototype valve, it
worked exactly as we expected by providing consistent volume delivery,
regardless of the position of the rolling diaphragm.
For more information, email: info@flomerics.com