Level-set robust topological optimization applied to MEMS accelerometers

MEMS technology is becoming increasingly important for several inertial applications (e.g., gyroscopes and accelerometers devices). The objective of this thesis is to improve the layout of an existing MEMS accelerometer by implementing level-set topology optimization algorithms in existing software written in C++. Robust techniques will be implemented as well in order to minimize the influence of real-world uncertainties (e.g., manufacturing errors and temperature conditions). This thesis will be carried out in Bovisa campus in collaboration with STMicroelectronics.

Tools

OpenLSTO (a code for TO in C++), Matlab (YetAnotherFEcode).

References

Pozzi, M., Bonaccorsi, G., Kim, H.A. et al. Robust structural optimization in presence of manufacturing uncertainties through a boundary-perturbation method. Struct Multidisc Optim 66, 120 (2023). https://doi.org/10.1007/s00158-023-03573-1