Abstract:
Demanding power consumption, as well as mechanical and electrical reliability issues pose major bottlenecks in the development of flexible hybrid electronic (FHE) devices for human performance monitoring (HPM). Computational modeling integrated into the iterative testing and development cycle can lead to optimal power budget and improved reliability. In this presentation, we will cover our ongoing computational modeling efforts to complement the NBMC-funded Phase II HPM sensor project led by Binghamton University. We will discuss a) the use of finite element analysis to optimize materials and processes for improved mechanical reliability b) modeling of reliability and contact resistance at interfaces, and c) design of high-efficiency, narrow-beam antennas on flexible substrates for optimal power consumption. We will discuss how each of these efforts is impacting the experimental work by BU led team, and the larger implications to other FHE devices. This work was supported by Nano-Bio Manufacturing Consortium contract FA-8650-13-2-7311 administering funds from the US Air Force Research Laboratory.