Literature DB >> 29290734

Predicting acoustic relaxation absorption in gas mixtures for extraction of composition relaxation contributions.

Tingting Liu1, Shu Wang1, Ming Zhu1.   

Abstract

The existing molecular relaxation models based on both parallel relaxation theory and series relaxation theory cannot extract the contributions of gas compositions to acoustic relaxation absorption in mixtures. In this paper, we propose an analytical model to predict acoustic relaxation absorption and clarify composition relaxation contributions based on the rate-determining energy transfer processes in molecular relaxation in excitable gases. By combining parallel and series relaxation theory, the proposed model suggests that the vibration-translation process of the lowest vibrational mode in each composition provides the primary deexcitation path of the relaxation energy, and the rate-determining vibration-vibration processes between the lowest mode and others dominate the coupling energy transfer between different modes. Thus, each gas composition contributes directly one single relaxation process to the molecular relaxation in mixture, which can be illustrated by the decomposed acoustic relaxation absorption spectrum of the single relaxation process. The proposed model is validated by simulation results in good agreement with experimental data such as N2, O2, CO2, CH4 and their mixtures.

Entities:  

Keywords:  molecular energy transfer; molecular relaxation; relaxation contribution of gas composition; sound absorption

Year:  2017        PMID: 29290734      PMCID: PMC5746584          DOI: 10.1098/rspa.2017.0496

Source DB:  PubMed          Journal:  Proc Math Phys Eng Sci        ISSN: 1364-5021            Impact factor:   2.704


  12 in total

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Authors:  Y Dain; R M Lueptow
Journal:  J Acoust Soc Am       Date:  2001-05       Impact factor: 1.840

2.  Acoustic attenuation in gas mixtures with nitrogen: experimental data and calculations.

Authors:  Sally G Ejakov; Scott Phillips; Yefim Dain; Richard M Lueptow; Jacobus H Visser
Journal:  J Acoust Soc Am       Date:  2003-04       Impact factor: 1.840

3.  Synthesizing primary molecular relaxation processes in excitable gases using a two-frequency reconstructive algorithm.

Authors:  Andi G Petculescu; Richard M Lueptow
Journal:  Phys Rev Lett       Date:  2005-06-14       Impact factor: 9.161

4.  Vibrational relaxation of NO (v = 1-16) with NO, N2O, NO2, He and Ar studied by time-resolved Fourier transform infrared emission.

Authors:  Gus Hancock; Marc Morrison; Mark Saunders
Journal:  Phys Chem Chem Phys       Date:  2009-07-23       Impact factor: 3.676

5.  The vibrational relaxation of NO in Ar: tunneling in a curve-crossing mechanism.

Authors:  E I Dashevskaya; E E Nikitin; J Troe
Journal:  Phys Chem Chem Phys       Date:  2015-01-07       Impact factor: 3.676

6.  Nonequilibrium shock-heated nitrogen flows using a rovibrational state-to-state method.

Authors:  M Panesi; A Munafò; T E Magin; R L Jaffe
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-07-14

7.  Rate constants for collisional quenching of NO (A(2)Σ(+), v = 0) by He, Ne, Ar, Kr, and Xe, and infrared emission accompanying rare gas and impurity quenching.

Authors:  Julian Few; Gus Hancock
Journal:  Phys Chem Chem Phys       Date:  2014-06-14       Impact factor: 3.676

8.  Simple model for vibration-translation exchange at high temperatures: effects of multiquantum transitions on the relaxation of a N2 gas flow behind a shock.

Authors:  A Aliat; P Vedula; E Josyula
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-02-22

9.  Fine-tuning molecular acoustic models: sensitivity of the predicted attenuation to the Lennard-Jones parameters.

Authors:  Andi G Petculescu; Richard M Lueptow
Journal:  J Acoust Soc Am       Date:  2005-01       Impact factor: 1.840

10.  Collisional cross-section of water molecules in vapour studied by means of 1H relaxation in NMR.

Authors:  Daniele Mammoli; Estel Canet; Roberto Buratto; Pascal Miéville; Lothar Helm; Geoffrey Bodenhausen
Journal:  Sci Rep       Date:  2016-12-23       Impact factor: 4.379

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