Accelerometers have multiple applications in industry and science, and can be used as sensors in a wide variety of devices. Highly sensitive accelerometers are components of inertial navigation systems for both aircraft and missiles, as these predominantly require guidance, navigation, and control applications. Accelerometers can be used to detect and monitor vibration in rotating machinery, tablet computers and digital cameras, allowing images on the screens to always be displayed upright, as well as in drones for flight stabilization. New technologies have resulted in the continuous advancement of inertial measurement systems. Efforts in recent years have been directed towards the realization of increasingly smaller rotation-rate sensors with lower power requirements, capable of achieving performance commensurate with the requirements for non-GPS navigation of small platforms. In particular, graphene based accelerometers have great advantages in terms of providing a large sensing range, reproducibility of performance without hysteresis, and stability in mechanical operation. This has caused intense investigation into resonators based on graphene nanoribbon. Here, Here, we investigate the application of crossroad-type graphene resonators as ultrahigh sensitivity accelerometers by performing classical molecular dynamics simulations. The relationships between the resonance frequencies and acceleration could be divided by two regions. The simulation data showed that when the accelerations were higher than 0.1 nm/ps2, the resonance frequency increased with increase of the acceleration. In particular, acceleration, as a function of frequency, was regressed by a power function and shown to have a linear relationship on a log-log scale. Crossroad-type graphene resonators have multiple applications to nanoscale sensors, filters, switching devices, and quantum computing, as well as ultra-fast response resonators.
Journal: TechConnect Briefs
Volume: 4, Informatics, Electronics and Microsystems: TechConnect Briefs 2017
Published: May 14, 2017
Pages: 88 - 91
Industry sector: Sensors, MEMS, Electronics
Topic: MEMS & NEMS Devices, Modeling & Applications