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

摘要: The existing molecular relaxation models based on both parallel theory and series cannot extract the contributions of gas compositions to acoustic absorption in mixtures. In this paper, we propose an analytical model predict clarify composition rate-determining energy transfer processes excitable gases. By combining theory, proposed suggests that vibration-translation process lowest vibrational mode each provides primary deexcitation path energy, vibration-vibration between others dominate coupling different modes. Thus, contributes directly one single mixture, which can be illustrated by decomposed spectrum process. is validated simulation results good agreement with experimental data such as $\mathrm{N_2}$, $\mathrm{O_2}$, $\mathrm{CO_2}$, $\mathrm{CH_4}$ their