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Rapid Prototyping of Inertial MEMS Devices through Structural Optimization.
Daniele Giannini1,2, Giacomo Bonaccorsi1, Francesco Braghin1
1Department of Mechanical Engineering, Politecnico di Milano, Via G. La Masa 1, 20156 Milano, Italy.
Sensors (Basel, Switzerland)
|August 10, 2021
Summary
We developed feMEMSlite, a novel design tool for microelectromechanical systems (MEMS) inertial sensors. This efficient environment enables rapid prototyping and optimization of MEMS devices, particularly gyroscopes.
Area of Science:
- Engineering
- Mechanical Engineering
- Materials Science
Background:
- Microelectromechanical systems (MEMS) are crucial for inertial sensing.
- Current design processes for MEMS can be time-consuming, hindering rapid prototyping.
- Efficient simulation and optimization tools are needed for complex MEMS devices.
Purpose of the Study:
- To present feMEMSlite, a novel and computationally efficient design and optimization environment for inertial MEMS devices.
- To enable flexible and rapid prototyping of MEMS through device-level schematization.
- To optimize MEMS gyroscope design focusing on eigenfrequencies and response to angular rates.
Main Methods:
- Developed feMEMSlite for parametric geometry generation, dynamic behavior simulation, and gradient-based layout optimization.
- Employed a device-level schematization: proof masses as rigid bodies, flexural springs as Timoshenko beam finite elements.
- Incorporated electrostatic softening effects via negative spring constants.
Main Results:
- Successfully applied feMEMSlite to a triaxial beating-heart MEMS gyroscope.
- Optimized designs met industry requirements, tuning structural eigenfrequencies and maximizing response to angular rates.
- Rapidly prototyped layouts demonstrated good performance when validated with full FEM models.
Conclusions:
- feMEMSlite provides a flexible, efficient, and computationally advantageous tool for inertial MEMS design and optimization.
- The device-level schematization approach allows for rapid prototyping with minimal adjustments for physical design.
- This methodology is particularly effective for complex MEMS devices like gyroscopes, accelerating the design cycle.

