A full open-source system that integrates design, simulation and optimization of MEMS sensors.
Open the Windows Powershell and type in:
wsl --install
You might have to reboot your computer. You can verify your installation by opening the command line and type
ubuntu
Open the command line and type ubuntu (this will be required everytime we want to run the program, as it only runs in Ubuntu OS) Then:
sudo apt-get update
sudo apt-get upgrade
sudo apt-get install python3
Test it by running:
python3
If you don't ever use Python 2, a handy install would also be:
sudo apt install python-is-python3
And then test it with:
python
Then install pip (the package manager):
sudo apt install python3-pip
To install FEniCS, first add their repository and then install the package:
sudo add-apt-repository ppa:fenics-packages/fenics
sudo apt-get update
sudo apt-get install fenics
sudo apt-get dist-upgrade
You can then test the installation by running with no errors or output:
python -c 'import fenics'
FEniCS is installed. For more information check: https://github.com/FEniCS/dolfinx#installation
This software requires the use of gmsh, pygmsh, h5py and numpy. Install them using:
sudo apt install python3-gmsh
pip install gmsh
pip install pygmsh
pip install numpy
pip install h5py
Sometimes some errors arise when using the WSL instead of standalone Ubuntu. The vast majority can be solved by installing the following libraries:
sudo apt install mesa-utils libglu1-mesa-dev freeglut3-dev mesa-common-dev
sudo apt-get install libxcursor1
sudo apt-get install libxinerama1
It is recommended to make a new directory in your Ubuntu virtual system. Then clone the repository:
mkdir rubicola
cd rubicola
git clone https://github.com/ruiesteves-pt/rubicolaMEMS
python acc_ga.py
Make the changes to geometry, figure of merit and FEM studies according to your needs. Further documentation on this in future.
If you use this repository or if this work was useful to you in any way, please consider citing it using the "Cite this repository" tool at the page's the top right or with the following structure:
MDPI and ACS Style
Amendoeira Esteves, R.; Wang, C.; Kraft, M. Python-Based Open-Source Electro-Mechanical Co-Optimization System for MEMS Inertial Sensors. Micromachines 2022, 13, 1. https://doi.org/10.3390/mi13010001
AMA Style
Amendoeira Esteves R, Wang C, Kraft M. Python-Based Open-Source Electro-Mechanical Co-Optimization System for MEMS Inertial Sensors. Micromachines. 2022; 13(1):1. https://doi.org/10.3390/mi13010001
Chicago/Turabian Style
Amendoeira Esteves, Rui, Chen Wang, and Michael Kraft. 2022. "Python-Based Open-Source Electro-Mechanical Co-Optimization System for MEMS Inertial Sensors" Micromachines 13, no. 1: 1. https://doi.org/10.3390/mi13010001
https://www.mdpi.com/2072-666X/13/1/1
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