Automation Takes On Fuel Cell Manufacturing
Automation Takes On Fuel Cell Manufacturing
Ray Puffer:
We also have a prestigious award from the NSF (National Science Foundation) called an IGERT program—for integrative graduate education and research traineeship. It’s basically an NSF program to reinvent how we prepare Ph.D.s to enter into industry. We are the only IGERT in the country focused on fuel cells. We’re in our fourth year right now, and that provides support for 28 PhDs doing fuel cell research. The total value of that is close to $7 million.
About a year ago, we also received the first-ever DOE (Department of Energy) grant for fuel cell manufacturing, which is another multi-million dollar, multi-year research program. I’m the PI (principal investigator) on that, and I have a co-PI, Dan Walczyk, and we have a team of 10 researchers working on the program.
AW: What does the DOE grant cover?
Puffer: The focus of that research is on applying adaptive process controls to the manufacturing process for membrane electrode assemblies (MEAs), which are key components of fuel cells, and also to investigate the feasibility of using ultrasonics for manufacturing processes.
This is particularly important, because first of all, from the adaptive process control perspective, we have variability of all the incoming materials that go into an MEA. And yet we use the exact same manufacturing process, which, unsurprisingly then, results in variations in the properties of the MEAs and may impact the performance when you assemble a large number of them into a fuel cell stack.
The ultrasonic work that we’re doing is also important, because today, to produce an MEA, you hot press the materials, and the cycle time is anywhere from one minute to five minutes. Yet, because of the potential volumes, our goal is to get that down to something that’s measured in milliseconds, not minutes, and we believe ultrasonics will be key to that.
AW: We’re at a robots show. What are the opportunities for robotics in fuel cell manufacturing, and what are some of the challenges?
Puffer: When you start scaling up production, if you get to extremely high production volumes, with very stable designs, materials and processes, then you typically look at hard automation as a solution. But it’s going to be a significant amount of time before we get to that point, and when you have uncertainty related to process, or the materials, the design, the architecture, the size, all of those issues, then you really need to focus on flexible automation, and so robots become an important cornerstone.
But there are many, many challenges for the use of robotics, especially for the kinds of materials that we deal with. The membrane technology that we work with is based upon PBI, or polybenzimidazole, which is a very high-temperature polymer. For our application, this PBI is formed into a sol-gel (gelatinous-solid combination) membrane. The PBI is actually a very small percentage of the membrane content, and the rest of it is all phosphoric acid. So we have this material that is gelatinous, it’s highly doped with acid, which is corrosive to many materials that you typically find in robots, and it is highly hydrophilic. It loves ...
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