Month: May 2021
Multi-objective optimization of electrode topology in a composite piezoresistive sensor
We optimized the topology of electrodes in the composite piezoresistive sensors for highest sensitivity and lowest power consumption. We used multi-fidelity Finite Element simulations, built deep learning reduced order models, and examined various electrode configurations to find the optimal design.
A Computational Framework for Simulating Composite Piezoresistive Pressure Sensors
The polymer-based conductive composites have shown great potential for sensing applications because of their high flexibility and sensitivity. We developed a numerical model based on the Finite Element Method, which offers micro- and macro-level analyses from mechanical to electrostatic predictions.