| This article was prepared by staff writers in collaboration with outside contributors. |
It started
like a lot of projects, with a few coincidences. A fuel cell developer
in Latham, N.Y., needed to know that its latest product could tolerate
the randomness of commercial manufacturing. A couple of its engineers
went to a technical conference where they heard an engineering consultant
from Castle Rock, Colo., talk about probabilistic design. Meanwhile, the
National Renewable Energy Laboratory in Golden, Colo., was turning its
attention to probabilistic techniques for developing energy devices.
It came together as an experiment funded by the Department of Energy to
use virtual prototyping and Six Sigma methods to understand the effects
of mechanical design on the electrical performance of a fuel cell.
Plug Power Inc., working on a propane-fed fuel cell called GenSys, wanted
a robust designone that could perform as needed despite inevitable
variations in materials and assembly. Company engineers turned to the
consultant they had heard, Andreas Vlahinos, who operates Advanced Engineering
Solutions LLC, to explore the latest design.
 |
| Above is a section of the finite-element
model of the stack, rendered in Ansys software. |
Vlahinos used finite-element simulations to predict how the product design
would turn out in the randomness of the real world, where materials, parts,
and connections are never exactly the same.
According to Vlahinos, an ASME member and former professor at the University
of Colorado, "Probabilistic design techniques have enormous positive
impact on reducing product costs. This becomes obvious when the total
product cost is considered to include the costs of poor quality."
Vlahinos worked with Kenneth Kelly, who heads the virtual prototyping
efforts in the Center for Transportation Technologies and Systems at the
DOE's National Renewable Energy Laboratory, and with two engineers from
Plug Power, Jim D'Aleo and Jim Stathopoulos. Stathopoulos, who is quality
systems manager for Plug Power, refers to himself as a Six Sigma "Black
Belt," and so was on familiar turf. The DOE provided funding under
two programs, the FreedomCAR and the Hydrogen, Fuel Cells, and Infrastructure
Technologies Program.
The team chose four variables for a study of the stack, the heart of the
fuel cell where hydrogen flows to generate electricity. Variations were
predicted in the thickness of the bipolar plates and the proton exchange
membranes, the elasticity of the plates, and the load of the bolts that
hold the stack together.
 |
| A fuel cell outside Plug Power's
headquarters. |
According to Vlahinos, the bolts, for instance, could have a significant
effect. At one extreme, if they squeezed too much, they could close off
the stack and keep hydrogen from flowing through the membranes to produce
electricity. The other extreme would be that they didn't squeeze
the stack enough, and there would be no conductivity.
The big question, he said, was, "How much variation can you get
away with?"
The iterations of the virtual experiments were done automatically by software
called Probabilistic Design System, from Ansys Inc. of Canonsburg, Pa.
The software ran nine experiments, from which it was able to extrapolate
10,000 data points to predict a range of manufacturing variations.
Results, published in a paper delivered at the ASME fuel cell conference
last April, showed that compressive stresses on the membranes at the top
and bottom of the stack were as much as 30 percent greater than stresses
at the middle. According to the team, the standard deviation was five
times greater at the top and bottom than it was in the middle. They reported
that the majority of membranes appeared to be largely insensitive to manufacturing
variations.
Plug Power has introduced the GenSys 5P, a 5 kW fuel cell system that
runs on liquid propane.
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