TY - GEN
T1 - Experimental Study of Gas Propagation
T2 - 2024 IEEE International Symposium on Olfaction and Electronic Nose, ISOEN 2024
AU - Hinsen, Patrick
AU - Wiedemann, Thomas
AU - Prieto Ruiz, Victor Scott
AU - Shutin, Dmitriy
AU - Lilienthal, Achim J.
N1 - Publisher Copyright:
©2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Accurate modeling of airborne material dispersion is essential for environmental and air quality monitoring, robotic olfactory exploration missions, and gas source localization. Both computational fluid dynamics, as well as data-driven gas propagation models, require fitting to experimental data to realistically capture spatio-temporal dynamics of the material – which is difficult to obtain. In this paper, we present some insights from controlled wind tunnel experiments. The collected data provides valuable information about the propagation and dispersion characteristics of gasses released into the atmosphere. Leveraging the known wind conditions in the wind tunnel, and under the assumption that the gas dynamics can be accurately described in terms of advection-diffusion equations, we characterize the sensor response and estimate gas propagation parameters. Specifically, we compute the observed diffusion coefficient and source strength using gas concentration measurements. These parameters can then be used for further refining gas propagation models using experimental data, and for validation of gas source localization algorithms using data collected in controlled environments.
AB - Accurate modeling of airborne material dispersion is essential for environmental and air quality monitoring, robotic olfactory exploration missions, and gas source localization. Both computational fluid dynamics, as well as data-driven gas propagation models, require fitting to experimental data to realistically capture spatio-temporal dynamics of the material – which is difficult to obtain. In this paper, we present some insights from controlled wind tunnel experiments. The collected data provides valuable information about the propagation and dispersion characteristics of gasses released into the atmosphere. Leveraging the known wind conditions in the wind tunnel, and under the assumption that the gas dynamics can be accurately described in terms of advection-diffusion equations, we characterize the sensor response and estimate gas propagation parameters. Specifically, we compute the observed diffusion coefficient and source strength using gas concentration measurements. These parameters can then be used for further refining gas propagation models using experimental data, and for validation of gas source localization algorithms using data collected in controlled environments.
KW - Advection-Diffusion Equation
KW - Gas Propagation
KW - MOX
KW - PID
KW - Sensor Response
KW - Wind Tunnel
UR - http://www.scopus.com/inward/record.url?scp=85197399945&partnerID=8YFLogxK
U2 - 10.1109/ISOEN61239.2024.10556306
DO - 10.1109/ISOEN61239.2024.10556306
M3 - Conference contribution
AN - SCOPUS:85197399945
T3 - ISOEN 2024 - International Symposium on Olfaction and Electronic Nose, Proceedings
BT - ISOEN 2024 - International Symposium on Olfaction and Electronic Nose, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 May 2024 through 15 May 2024
ER -