Solid Oxide Fuel Cell Visual Recognition of Images to Show 3d Printed Part Effectiveness

Team: 24

School: Tucumcari High

Area of Science: Computer Science


Proposal: The Problem:
The problem that we have identified is the lack of consistency found within the testing of fuel cells. When testing fuel cells a silver mesh is applied to the cell using a silver paste. Currently this paste is applied by hand which creates inconsistencies in the testing.

Importance:
Fuel cells have the capability to provide electricity to places like space where the ability to recharge is not available. As we continue to evolve we are finding ways to improve fuel cells but this inconsistent testing is making the progress unstable.

Plan:
The plan is to use NetLogo to create a program that is able to take any image of the fuel cell with the mesh and make each the same size by counting the pixels of a piece of tape to act as a control. After we make this picture a consistent size we can then count the pixels covered or not covered by the paste to see how consistent the application truly is.


Team Members:

  Nolan Ryen
  Marcus Lopez

Sponsoring Teacher: Thomas Evans

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