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High Temperature Dispersed Particle Radiation Physical Properties and Temperature Measurement

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Materials Physics".

Deadline for manuscript submissions: 20 July 2024 | Viewed by 971

Special Issue Editors


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Guest Editor
School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: metamaterials; semi-transparent materials; measurement technology; thermal properties of materials; radiative heat transfer; inverse problem; optimization
Special Issues, Collections and Topics in MDPI journals
Associate Professor, School of Energy Science and Engineering, Harbin Institute of Technology, Harbin 150001, China
Interests: radiative heat transfer; inverse problem; optimization; heat and mass transfer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In metal smelting, petrochemicals, aerospace, and atmospheric science, there are many complex dispersed substances composed of gases, liquids, solid particles, and mixtures. Measuring key parameters, such as dispersed particles' radiation characteristics and temperature distribution, is essential for various industries. The on-site high-temperature thermal test process is of great significance. The online monitoring mode of high-temperature dispersed particle radiation characteristics and temperature fields is limited by extreme environments, and its real-time accuracy still needs further improvement. The non-contact measurement method obtains the target parameters by reconstructing other boundary information. However, the multi-peak function solution problem caused by the joint inversion of multi-parameter groups faces considerable computational efficiency and complexity challenges.

This Special Issue aims to promote the progress and development of physical information measurement of high-temperature dispersed particles from the aspects of mechanism research and experimental technology and encourage researchers to publish their original research and innovative discoveries on the optimization calculation method of complex functions or extreme environment measurement technology when obtaining the radiation characteristics and temperature distribution of high temperature dispersed particles. Suitable topics include, but are not limited to, the following:

  • Numerical calculation method of high temperature dispersed particle radiation characteristics and temperature measurement;
  • Equipment design and experimental technology for online detection of physical properties of dispersed particles in high-temperature environments;
  • Research on the identification of multiple types and parameters of high-temperature dispersed particles;
  • High temperature dispersed particle spectral analysis and image processing.

Prof. Dr. Hong Qi
Dr. Yatao Ren
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • high temperature dispersion particles
  • particle radiation characteristics
  • radiation measurement
  • particle thermometry
  • spectral analysis
  • inverse problem
  • image processing

Published Papers (1 paper)

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Research

27 pages, 11802 KiB  
Article
Simultaneous Inversion of Particle Size Distribution, Thermal Accommodation Coefficient, and Temperature of In-Flame Soot Aggregates Using Laser-Induced Incandescence
by Junyou Zhang, Juqi Zhang and Xing Huang
Materials 2024, 17(3), 634; https://doi.org/10.3390/ma17030634 - 28 Jan 2024
Cited by 1 | Viewed by 551
Abstract
Measuring the size distribution and temperature of high-temperature dispersed particles, particularly in-flame soot, holds paramount importance across various industries. Laser-induced incandescence (LII) stands out as a potent non-contact diagnostic technology for in-flame soot, although its effectiveness is hindered by uncertainties associated with pre-determined [...] Read more.
Measuring the size distribution and temperature of high-temperature dispersed particles, particularly in-flame soot, holds paramount importance across various industries. Laser-induced incandescence (LII) stands out as a potent non-contact diagnostic technology for in-flame soot, although its effectiveness is hindered by uncertainties associated with pre-determined thermal properties. To tackle this challenge, our study proposes a multi-parameter inversion strategy—simultaneous inversion of particle size distribution, thermal accommodation coefficient, and initial temperature of in-flame soot aggregates using time-resolved LII signals. Analyzing the responses of different heat transfer sub-models to temperature rise demonstrates the necessity of incorporating sublimation and thermionic emission for accurately reproducing LII signals of high-temperature dispersed particles. Consequently, we selected a particular LII model for the multi-parameter inversion strategy. Our research reveals that LII-based particle sizing is sensitive to biases in the initial temperature of particles (equivalent to the flame temperature), underscoring the need for the proposed multi-parameter inversion strategy. Numerical results obtained at two typical flame temperatures, 1100 K and 1700 K, illustrate that selecting an appropriate laser fluence enables the simultaneous inversion of particle size distribution, thermal accommodation coefficient, and initial particle temperatures of soot aggregates with high accuracy and confidence using the LII technique. Full article
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