Multiobjective Optimization of PPy based Trilayer Actuators and Mechanical Sensors

Polypyrrole (PPy) as a conducting polymer has exhibited great potential for the fabrication of bending type actuators and conjugated polymer based mechanical sensors. Considering the structure and performance of any actuating or sensing device, it is of pivotal importance to study the roles and relationships of associated decision variables to design a device with a desired performance. In this thesis, proper modeling methodologies are presented to capture responses of a PPy trilayer actuator and mechanical sensor considering their main characteristic outputs. As the central focus, constrained nonlinear multiobjective optimization models for these actuators and sensors are accordingly developed to obtain the optimal range of their designated design variables. Moreover, incorporation of a layer of multi-walled carbon nanotubes into the structure of a neat PPy actuator is investigated to overcome one of its main shortcomings, low electrical conductivity. The accuracy of the numerical results were then determined using their experimental counterparts.M.A.S