Electrochemistry Blog Posts
Building an App to Optimize the Design of an SOFC Stack
Today, guest blogger Matteo Lualdi of resolvent ApS, a COMSOL Certified Consultant, discusses the benefits of creating a simulation app to analyze a solid oxide fuel cell stack. For many businesses, numerical modeling and simulation are valuable tools at various stages of the design workflow, from product development to optimization. Apps further extend the reach of these tools, hiding complex multiphysics models beneath easy-to-use interfaces. Here’s a look at one such example: a solid oxide fuel cell stack app.
The Boundary Element Method Simplifies Corrosion Simulation
As of version 5.4 of the COMSOL Multiphysics® software, there are features for simulating corrosion in slender structures. This significantly speeds up the total time spent when working with structures such as oil platforms. By using the boundary element method (BEM) and specialized beam elements in the Current Distribution, Boundary Elements interface, there is no longer a need for a finite element mesh to resolve the whole 3D structure, saving time for large corrosion problems consisting of slender components.
Using Simulation in the Race Against Corrosion
Corrosion is one of the most serious factors affecting the transportation industry. In an effort to minimize its impact, a German research institute and the manufacturers of Mercedes-Benz joined forces to investigate the corrosion occurring in automotive rivets and sheet metal. Using COMSOL Multiphysics simulation, they were able to study corrosion’s effects on car components.
Modeling Electrochemistry for Managing Diabetes
Diabetes is an incurable global killer: the World Health Organization estimates 350 million diabetics worldwide, with an average annual fatality rate close to 1%. Fortunately, modern medical science enables diabetics to manage their glucose levels and intake, so many countries have seen greatly reduced danger of the disease. Many diabetics must track their glucose levels throughout the day, requiring an accurate method for measuring the concentration of glucose in blood. For modern sensor designs, the method of choice is electrochemistry.
A Lithium-ion Battery Analysis at INES-CEA
During my time as a PhD student, a blue “Chemical Landmark” plaque was fitted to the building a couple of hundred yards down the road from my lab. The plaque commemorates the achievements of the researchers who made the lithium-ion (Li-ion) battery viable. Whether or not you know about the electrochemistry of rechargeable lithium-ion batteries, you probably rely on one. We carry them around in our phones and laptops, and ride in cars and planes that use them for power. […]
Electrochemistry, from Electroanalysis to Industrial Electrolysis
My colleague, Edmund Dickinson, recently blogged about cyclic voltammetry, and how this can be modeled. It was a fantastic blog entry, as it really described the application, and how to implement such models in COMSOL Multiphysics. While Edmund has a background in electroanalysis, where cyclic voltammetry, potentiometry, and electrochemical impedance are important tools, I had a different but similar life before COMSOL, working within industrial electrolysis. For both of us, the new Electrochemistry Module would have been the perfect tool […]
Learn How to Model Electrochemistry with an Orange Battery Tutorial
Did your chemistry teacher use an orange or lemon to demonstrate the concept of a battery, back in the day? You might remember how she magically produced electricity by sticking a couple of metal nails into the citrus fruit, as the whole class watched in awe. What if we now used simulation tools to demonstrate how an orange battery works, and then use that as an intro to electrochemistry modeling?
Modeling Electroanalysis: Cyclic Voltammetry
If you’re not an electrochemist, chances are you’ve never come across cyclic voltammetry. But look at any electrochemical journal, conference proceedings, or company website for manufacturers of electrochemical sensors. Somewhere near the front, you’ll see a distinctive “double-peaked” graph.
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