A research team led by Prof. WANG Junbo from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences (CAS) has introduced a novel simulation-based evolutionary method for the design of parameter-free microelectromechanical system (MEMS) structures, which aims to maximize the degrees of freedom in MEMS design.
The new design methodology enables semi-automatic structure evolution by meticulously assessing the attributes of each segment of the structure. Through a series of iterations, it produces an optimal design that promises significant improvements in MEMS performance.
To demonstrate the method's capabilities, the researchers applied it to the optimization of a pressure-sensitive diaphragm used in a piezoresistive pressure sensor (PPS).
Finite Element Method (FEM) simulations were conducted to evaluate the results. Compared to traditional diaphragms lacking islands and those with square islands, the optimized diaphragm exhibited remarkable enhancements. It increased stress levels by 10% and 16%, while simultaneously reducing nonlinearity by 57% and 77%, respectively.
These improvements underscore the advantages of the newly introduced design method. By tailoring MEMS structures to maximize their performance, researchers can potentially boost a wide range of applications, from medical devices to automotive sensors.
Furthermore, the researchers characterized the fabricated PPS and found that it boasted a high sensitivity of 8.8 mV/V/MPa and a remarkably low nonlinearity of just 0.058% Full Scale (FS) at 20°C.
"This design method makes it possible for the MEMS engineering to create microscale structures with excellent performance and adaptability," said Prof. WANG.
