Skip to main content

A method for simultaneous reconstruction of temperature and concentration distribution in gas mixtures based on acoustic tomography

Liu, Yan, Liu, Shi, Lei, Jing, Liu, Jing, Schlaberg, H. Inaki, Yan, Yong (2015) A method for simultaneous reconstruction of temperature and concentration distribution in gas mixtures based on acoustic tomography. Acoustical Physics, 61 (5). pp. 597-605. ISSN 1063-7710. (doi:10.1134/S1063771015050176) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://doi.org/10.1134/S1063771015050176

Abstract

The acquisition of the concentration and temperature distributions in a mixed gas system plays a crucial role in real industrial applications. Different from comment measurement method, in this paper an acoustic tomography (AT) based method is developed for the simultaneous reconstruction of the concentration and temperature distributions. The proposed method includes two stages. In the first stage, the correlations of the acoustic velocity and the intensity attenuation with the temperature and concentration are investigated. Then the approach that can simultaneously compute temperature and concentration is proposed. In the second stage, in order to achieve 2D tomography, the stochastic inversion method for solving the inverse problem is developed. Numerical simulations are implemented to validate the feasibility of the proposed reconstruction method.

Item Type: Article
DOI/Identification number: 10.1134/S1063771015050176
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 28 Oct 2015 16:55 UTC
Last Modified: 29 May 2019 16:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/51254 (The current URI for this page, for reference purposes)
  • Depositors only (login required):