Enhanced MEMS Synthesis Using Interactive Evolutionary Computation

R. Kamalian, H. Takagi, A. M. Agogino (9/2003)


The goal of this project is to create useful, efficient design synthesis tools for MEMS devices. Design synthesis helps engineers develop rapid, optimal configurations for a given set of performance and constraint guidelines. So far, several design synthesis examples have been solved using Stoachastic optimization techniques with the SUGAR simulation tool as a simulation engine. Synthesized designs have been fabricated in order to characterize their performance and validate the synthesis algorithm. The research will be framed within a larger research program for developing tools for the synthesis of MEMS suspensions and actuators.

In cooperation with the Kyushu Institute of Design in Japan we have developed an Interactive Evolutionary Computation component to our synthesis software. Allowing a human designer to select and further evolve designs generated by our existing stochastic techniques. This allows a user to include human judgement and design experience in addition to the simulation software's assessment of designs performance, thus avoiding currently non-simulatable design issues such as stress concentrations, dynamic interference, etc. Also since the last IAB we have successfully fabricated resonator structures in MUMPS created by automated synthesis with user specified performance goals. These structures are currently being characterized to validate our tools' effectiveness.

 

Raffi Kamalian