Event Detail

Event Type: 
Applied Mathematics and Computation Seminar
Date/Time: 
Friday, February 17, 2017 -
12:00 to 13:00
Location: 
GLK 113

Speaker Info

Institution: 
University of Texas at Dallas
Abstract: 

Trace gas sensors that are compact and portable are being deployed for use in a variety of applications including disease diagnosis via breath analysis, monitoring of atmospheric pollutants and greenhouse gas emissions, control of industrial processes, and for early warning of terrorist threats. We have developed some of the first mathematical models of tuning-fork based trace gas sensors. With these sensors, a laser is tuned to the right frequency to excite the gas to be detected. If the gas is present, these molecules absorb this energy and either an acoustic pressure wave or a thermal wave is generated. The wave impinges on the inner sides of a quartz tuning fork resulting in a vibration which can then be converted into a signal. The size of the signal corresponds to the amount of gas which is present. Early work involved modeling either an acoustic pressure wave or a thermal wave. However, laboratory experiments indicate that both waves may be present at the same time and that these phenomena can interact. Recent work involves modeling of a more sophisticated coupled pressure-temperature system. Our goal is to optimize the design of these sensors which requires an accurate model of the system damping. This damping depends on the geometry of the tuning fork and is best estimated with this coupled system. I will discuss both our early modeling work as well as the more recent coupled system work for modeling of trace gas sensors.
(Joint work with John Zweck, Artur Safin, Jordan Kaderli, and Noemi Petra)