This all started out as a way of applying some of the stuff I was learning in my numerical methods and electromagnetics classes at UVic. It’s grown a bit subsequently as I found it interesting in its own right. While there’s not a ton of simuation work that’s been done on Fusors, I’m aware of some work by Matthew Lilley investigating the dynamics of the fusor. Liam David has done some top flight work on the Fusor.net forums using particle simulations. This repository serves as a listing of the work I’ve done so far. Its been completed in essentially two different languages, so that’s how I’ve decided to organize it!
This python simulation is two dimensional, it uses a finite difference approximation to calculate the electric potential of a metal electrical grid. The current code implements the electric potential of a venetian blind direct energy conversion system. I used the image in my end of degree technical report. A great help in optimizing the speed of this program was the following wonderful post by Matt Ferraro. The code is all contained within the SimulationGaussSeidel.py file available on this github repo.
These are a number of three dimensional simulations of the electric field generated by different grids. It’s directly inspired by the work of Max Lipton. I rewrote his own open source code in Julia as an exercise in learning last Christmas. These simulations are all written in Pluto notebooks, and they operate as follows. A knot shape is parametrized in three dimensional space by some equation and then the electric field is generated via a quadrature integration scheme. A marching cubes algorithm is then used to find a level surface which is plotted to give the final image. There are three notebooks total at the moment but unfortunately I can’t figure out how to upload them in a way that allows for their code to work. To get the full effect I would suggest downloading the files from my GitHub and running them locally using Julia. The three notebooks are included in the appropriately name .jl files.