Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session D03: Shock Waves & Explosions
2:30 PM–4:40 PM,
Sunday, November 18, 2018
Georgia World Congress Center
Room: B204
Chair: Yue Ling, Baylor University
Abstract ID: BAPS.2018.DFD.D03.5
Abstract: D03.00005 : Validation of Dalton's and Amagat's laws for gas mixtures with shock propagation*
3:22 PM–3:35 PM
Presenter:
Patrick J Wayne
(University of New Mexico)
Authors:
Patrick J Wayne
(University of New Mexico)
Sean Cooper
(Texas A & M)
Dylan Simons
(Air Force Institute of Technology)
Ignacio Trueba-Monje
(Ohio State University)
Daniel Freelong
(University of New Mexico)
Gregory Vigil
(University of New Mexico)
Peter V Vorobieff
(University of New Mexico)
C Randall Truman
(University of New Mexico)
Timothy T Clark
(Univ of New Mexico)
Dalton’s and Amagat’s laws are known as the law of partial pressures and the law of partial volumes, respectively. These well-known thermodynamic models are used to characterize the properties of gas mixtures. We conducted experiments to assess the accuracy of these laws in predicting the properties of gas mixtures with shock propagation. We present results for two gas mixtures of sulfur hexafluoride (SF6) and helium (He), with 50%/50% and 25%/75% SF6/He molar concentrations. Fast response pressure transducers are used to determine the pressure of each gas mixture both before and after the passage of the shock wave. Temperature readings are obtained using an ultra-fast response mercury cadmium telluride (MCT) infrared (IR) detector, with a response time on the order of 60 nanoseconds. Coupled with a stabilized broadband infrared light source (operating at 1500 K) the MCT detector provides pre- and post-shock line-of-sight readings of average temperature within the shock tube. These experimental results are compared with theoretical to determine if one of the thermodynamic models produces better agreement with experiment.
*This research is supported by the NNSA grant DE-NA-0002913. We also acknowledge partial support from NSF (award 1603915) and DTRA (grant HDTRA1-18-1-0022).
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.D03.5
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